Headquarters: Brazil
URL: http://lawnstarter.com

About LawnStarter

LawnStarter is the nation's leading on-demand marketplace for lawn care and outdoor services, with over $150M in annual bookings. We're expanding beyond lawn care to become the one-stop shop for all home services - operating across three brands (LawnStarter, Lawn Love, Home Gnome) on a single shared platform.

About Analytics at LawnStarter

We're a small, senior analytics team supporting the entire company - product, marketing, operations, and finance all run on the data we serve. The foundation is solid: a centralized Redshift data warehouse where all source data lands, modeled in dbt and orchestrated by Airflow, with Segment feeding event data in. You won't be stitching scattered sources together - the platform exists; your job is to make it trustworthy and keep it that way. We're mid-migration to Lightdash as our single BI platform, replacing Tableau and Metabase.

Here's the honest gap: everyone on the team today is an analyst. Data quality, tracking standards, and platform hygiene get done as side work, squeezed between analyses. Nobody wakes up thinking about them - which is exactly the job we're hiring for.

The Role

You'll be the first person at LawnStarter dedicated to data governance - the owner of whether our data can be trusted. That means the quality and freshness of our source data, pipelines, and reports; the definitions behind our metrics; the standards behind our Segment event tracking; the health of our Lightdash workspace; the data feeding our machine learning models; and the security of the data itself.

This is a hands-on role. You'll work solo at first, with the Analytics team around you but nobody under you - building automation, writing checks, fixing what's broken, and putting processes in place that scale past you. If the scope grows the way we expect, this becomes the foundation of a team you'd build.

What makes this role different:

• You're first. Governance has been everyone's side job, so what exists today is yours to reshape - keep what works, redesign what doesn't, and your standards become the company's standards.
• Whole-stack ownership. Source data to pipelines to dashboards and ML models - you own trust across the entire chain, not one slice of it.
• A live migration to shape. Lightdash is landing now. You get to set up its permissions, structure, and norms before bad habits form, instead of untangling them later.

What You'll Own

• Data quality and freshness - automated monitoring across source data, pipelines, and reports; catching upstream schema and source changes before they break anything downstream; running incidents to resolution when they happen.
• Data lineage and impact analysis - a living map from production source to warehouse model to dashboard, and the process that uses it: when a production change is proposed, its downstream impact on pipelines, metrics, and reports gets assessed before it ships, not discovered after. The end-state is data contracts with engineering, so breaking changes get caught in their workflow, not ours.
• Lightdash - administration, workspace structure, permissions, and the rollout itself. Your job is to give the company self-serve autonomy while keeping the workspace tidy enough that people can find and trust what's there. Enablement is part of the deal - people follow standards they've been taught - and so is keeping queries fast and warehouse costs sane.
• The semantic layer - we just shipped it for our most critical metrics: one governed definition per metric, in code. You'll extend definition and mapping to the rest and guard the layer against uncontrolled growth as it scales.
• Event tracking governance - our governed Segment event catalog: reviewing new events against its standards, keeping it matched to what production actually sends, and evolving the guardrails (naming, property dictionary, drift detection) as tracking grows.
• AI data readiness - AI agents query our warehouse every day through Brain, our internal AI toolkit. You'll govern what data AI tools can access and keep the warehouse AI-legible: documented, consistent, and safe for an agent to query and get the right answer.
• Data security and privacy - access controls, PII handling and retention under US state privacy laws, and periodic reviews of who - and which AI tools - can see what.
• The governance system itself - the documentation, ownership models, and review loops that keep all of the above running without heroics.

Problems to Solve

Make the Lightdash migration a step-change, not a re-platforming We're replacing Tableau and Metabase with Lightdash. Done poorly, we trade two messy tools for one messy tool. You'll design the structure - spaces, permissions, certification, naming - that lets stakeholders self-serve at the speed the company needs without creating an uncontrolled dashboard-growth nightmare. The hard part: autonomy and tidiness pull in opposite directions, and you have to deliver both.

Finish and defend the semantic layer We just shipped our semantic layer for our most critical metrics - one governed definition per metric, so "two dashboards, two numbers" can't happen. The unglamorous truth: a long tail of metrics still needs definition and mapping, and a semantic layer only stays trustworthy if someone curbs its growth. You'll own both - extending coverage and keeping one-metric-one-definition true as the layer scales.

Tame event-tracking entropy Segment events power our funnels and product analytics, and they're implemented by many engineers across many teams. The guardrails exist - a governed event catalog with naming standards, a property dictionary, a review lifecycle, and automated drift detection against production. What's missing is a dedicated owner: someone who holds every new event to the standard, keeps the catalog matched to what production actually sends, and evolves the guardrails as tracking grows. Without that, entropy wins - events drift and silently degrade when features change.

Get ahead of breakage instead of chasing it Today, when production data changes upstream, we too often find out when a pipeline breaks or a stakeholder flags a wrong number. You won't start from zero - an AI-powered Analytics Engineer agent already runs freshness monitoring, metric anomaly detection, and dbt-based lineage checks - but it doesn't yet run at the scale or coverage we need. You'll take detection from partial to comprehensive, extend lineage beyond dbt (Segment events and Lightdash need stitching in), and wire it into engineering's change review, so a proposed production change comes with a downstream impact assessment instead of a postmortem. The end-state is data contracts: breaking changes caught in engineering's workflow, not ours.

What Success Looks Like (Year 1)

• Zero pipeline incidents from unannounced source-data changes - lineage and automation catch them before they break anything downstream, and production changes ship with an impact assessment instead of a postmortem.
• Zero freshness incidents - stakeholders never open a stale dashboard.
• Every area of the business manages on official, well-maintained metrics and dashboards - product, marketing, ops, and finance self-serve in Lightdash against a fully mapped semantic layer; Tableau and Metabase are retired; arguments about whose number is right don't happen. Not because you built the dashboards - because you built the system that keeps them trustworthy.
• Every Segment event has an owner and a standard - new events ship compliant, and degradation gets caught automatically, not by accident.
• Governance runs as a system - documented processes that would survive you taking a month off.

Requirements

Who You Are

• Governance is your craft, not your chore. You genuinely enjoy making data systems trustworthy and tidy - you're the person who can't leave a broken naming convention alone. This is unlikely to be a good fit if you see governance as a stepping stone to "real" analytics work.
• AI-native. You use AI tools (Claude Code, Copilot, ChatGPT) daily to build quality checks, write automation, triage anomalies, and document as you go - one person covering ground that used to take a team. You also see the reverse direction: AI agents consume our data daily, and making the warehouse safe and legible for them is part of governance now. This is unlikely to be a good fit if you're skeptical of AI tools or prefer to do everything manually.
• A hands-on senior operator. You write the SQL, debug the Airflow DAG, and configure the permissions yourself - seniority here means judgment and speed, not delegation. This is unlikely to be a good fit if your last few years were spent directing others and you'd need a team to execute.
• Automation-first. Your instinct for any recurring check is to build a monitor, not a checklist. This is unlikely to be a good fit if your quality practice depends on manual review and discipline.
• An enforcer people actually like. You'll hold engineers and analysts you don't manage to standards - which takes clear rules, good tooling that makes compliance easy, and the spine to say no gracefully. This is unlikely to be a good fit if you avoid friction or, at the other extreme, enjoy being the department of no.

This Role Is NOT

• A people-management role - yet. You'll work alone for a while. A team may grow under you if the scope demands it, but if you need direct reports on day one, this isn't it.
• A policy or committee job. There are no governance councils to chair and no binders to produce. When something's broken, you fix it - with code, config, or a conversation.
• A BI analyst role. You won't spend your days building dashboards for stakeholders. You build the platform and guardrails that let everyone else do that well.
• A finished system to babysit. Much of this doesn't exist yet. If you want to operate a mature data platform rather than build one, you'll be frustrated here.

Tech You'll Touch

• Warehouse & pipelines - Redshift, dbt, Airflow
• Event tracking - Segment
• BI - Lightdash (primary), Tableau and Metabase (sunsetting)
• AI tooling - Claude Code, Codex, Brain (our internal AI toolkit), and any tool that makes you more effective or efficient
• Observability - an AI-powered Analytics Engineer agent (freshness monitoring, anomaly detection, dbt lineage) you'll scale up, plus the quality and impact tooling you'll add around it

You don't need every box checked. You need hands-on depth in the warehouse/pipeline layer and credible experience keeping a BI tool and tracking plan healthy at company scale.

Benefits

Compensation & Benefits

• Base salary: $75k-$120k/year
• Fully remote: This work needs deep focus, building monitors, untangling pipelines, and we trust you to manage your environment. Async collaboration is the norm.
• Flexible PTO: We focus on results. Take what you need.

LawnStarter provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. We comply with applicable state and local laws governing nondiscrimination in employment.

To apply: https://weworkremotely.com/remote-jobs/lawnstarter-data-governance-and-platform-manager

Headquarters: Mexico
URL: http://lawnstarter.com

About LawnStarter

LawnStarter is the nation's leading on-demand marketplace for lawn care and outdoor services, with over $150M in annual bookings. We're expanding beyond lawn care to become the one-stop shop for all home services - operating across three brands (LawnStarter, Lawn Love, Home Gnome) on a single shared platform.

About Analytics at LawnStarter

We're a small, senior analytics team supporting the entire company - product, marketing, operations, and finance all run on the data we serve. The foundation is solid: a centralized Redshift data warehouse where all source data lands, modeled in dbt and orchestrated by Airflow, with Segment feeding event data in. You won't be stitching scattered sources together - the platform exists; your job is to make it trustworthy and keep it that way. We're mid-migration to Lightdash as our single BI platform, replacing Tableau and Metabase.

Here's the honest gap: everyone on the team today is an analyst. Data quality, tracking standards, and platform hygiene get done as side work, squeezed between analyses. Nobody wakes up thinking about them - which is exactly the job we're hiring for.

The Role

You'll be the first person at LawnStarter dedicated to data governance - the owner of whether our data can be trusted. That means the quality and freshness of our source data, pipelines, and reports; the definitions behind our metrics; the standards behind our Segment event tracking; the health of our Lightdash workspace; the data feeding our machine learning models; and the security of the data itself.

This is a hands-on role. You'll work solo at first, with the Analytics team around you but nobody under you - building automation, writing checks, fixing what's broken, and putting processes in place that scale past you. If the scope grows the way we expect, this becomes the foundation of a team you'd build.

What makes this role different:

• You're first. Governance has been everyone's side job, so what exists today is yours to reshape - keep what works, redesign what doesn't, and your standards become the company's standards.
• Whole-stack ownership. Source data to pipelines to dashboards and ML models - you own trust across the entire chain, not one slice of it.
• A live migration to shape. Lightdash is landing now. You get to set up its permissions, structure, and norms before bad habits form, instead of untangling them later.

What You'll Own

• Data quality and freshness - automated monitoring across source data, pipelines, and reports; catching upstream schema and source changes before they break anything downstream; running incidents to resolution when they happen.
• Data lineage and impact analysis - a living map from production source to warehouse model to dashboard, and the process that uses it: when a production change is proposed, its downstream impact on pipelines, metrics, and reports gets assessed before it ships, not discovered after. The end-state is data contracts with engineering, so breaking changes get caught in their workflow, not ours.
• Lightdash - administration, workspace structure, permissions, and the rollout itself. Your job is to give the company self-serve autonomy while keeping the workspace tidy enough that people can find and trust what's there. Enablement is part of the deal - people follow standards they've been taught - and so is keeping queries fast and warehouse costs sane.
• The semantic layer - we just shipped it for our most critical metrics: one governed definition per metric, in code. You'll extend definition and mapping to the rest and guard the layer against uncontrolled growth as it scales.
• Event tracking governance - our governed Segment event catalog: reviewing new events against its standards, keeping it matched to what production actually sends, and evolving the guardrails (naming, property dictionary, drift detection) as tracking grows.
• AI data readiness - AI agents query our warehouse every day through Brain, our internal AI toolkit. You'll govern what data AI tools can access and keep the warehouse AI-legible: documented, consistent, and safe for an agent to query and get the right answer.
• Data security and privacy - access controls, PII handling and retention under US state privacy laws, and periodic reviews of who - and which AI tools - can see what.
• The governance system itself - the documentation, ownership models, and review loops that keep all of the above running without heroics.

Problems to Solve

Make the Lightdash migration a step-change, not a re-platforming We're replacing Tableau and Metabase with Lightdash. Done poorly, we trade two messy tools for one messy tool. You'll design the structure - spaces, permissions, certification, naming - that lets stakeholders self-serve at the speed the company needs without creating an uncontrolled dashboard-growth nightmare. The hard part: autonomy and tidiness pull in opposite directions, and you have to deliver both.

Finish and defend the semantic layer We just shipped our semantic layer for our most critical metrics - one governed definition per metric, so "two dashboards, two numbers" can't happen. The unglamorous truth: a long tail of metrics still needs definition and mapping, and a semantic layer only stays trustworthy if someone curbs its growth. You'll own both - extending coverage and keeping one-metric-one-definition true as the layer scales.

Tame event-tracking entropy Segment events power our funnels and product analytics, and they're implemented by many engineers across many teams. The guardrails exist - a governed event catalog with naming standards, a property dictionary, a review lifecycle, and automated drift detection against production. What's missing is a dedicated owner: someone who holds every new event to the standard, keeps the catalog matched to what production actually sends, and evolves the guardrails as tracking grows. Without that, entropy wins - events drift and silently degrade when features change.

Get ahead of breakage instead of chasing it Today, when production data changes upstream, we too often find out when a pipeline breaks or a stakeholder flags a wrong number. You won't start from zero - an AI-powered Analytics Engineer agent already runs freshness monitoring, metric anomaly detection, and dbt-based lineage checks - but it doesn't yet run at the scale or coverage we need. You'll take detection from partial to comprehensive, extend lineage beyond dbt (Segment events and Lightdash need stitching in), and wire it into engineering's change review, so a proposed production change comes with a downstream impact assessment instead of a postmortem. The end-state is data contracts: breaking changes caught in engineering's workflow, not ours.

What Success Looks Like (Year 1)

• Zero pipeline incidents from unannounced source-data changes - lineage and automation catch them before they break anything downstream, and production changes ship with an impact assessment instead of a postmortem.
• Zero freshness incidents - stakeholders never open a stale dashboard.
• Every area of the business manages on official, well-maintained metrics and dashboards - product, marketing, ops, and finance self-serve in Lightdash against a fully mapped semantic layer; Tableau and Metabase are retired; arguments about whose number is right don't happen. Not because you built the dashboards - because you built the system that keeps them trustworthy.
• Every Segment event has an owner and a standard - new events ship compliant, and degradation gets caught automatically, not by accident.
• Governance runs as a system - documented processes that would survive you taking a month off.

Requirements

Who You Are

• Governance is your craft, not your chore. You genuinely enjoy making data systems trustworthy and tidy - you're the person who can't leave a broken naming convention alone. This is unlikely to be a good fit if you see governance as a stepping stone to "real" analytics work.
• AI-native. You use AI tools (Claude Code, Copilot, ChatGPT) daily to build quality checks, write automation, triage anomalies, and document as you go - one person covering ground that used to take a team. You also see the reverse direction: AI agents consume our data daily, and making the warehouse safe and legible for them is part of governance now. This is unlikely to be a good fit if you're skeptical of AI tools or prefer to do everything manually.
• A hands-on senior operator. You write the SQL, debug the Airflow DAG, and configure the permissions yourself - seniority here means judgment and speed, not delegation. This is unlikely to be a good fit if your last few years were spent directing others and you'd need a team to execute.
• Automation-first. Your instinct for any recurring check is to build a monitor, not a checklist. This is unlikely to be a good fit if your quality practice depends on manual review and discipline.
• An enforcer people actually like. You'll hold engineers and analysts you don't manage to standards - which takes clear rules, good tooling that makes compliance easy, and the spine to say no gracefully. This is unlikely to be a good fit if you avoid friction or, at the other extreme, enjoy being the department of no.

This Role Is NOT

• A people-management role - yet. You'll work alone for a while. A team may grow under you if the scope demands it, but if you need direct reports on day one, this isn't it.
• A policy or committee job. There are no governance councils to chair and no binders to produce. When something's broken, you fix it - with code, config, or a conversation.
• A BI analyst role. You won't spend your days building dashboards for stakeholders. You build the platform and guardrails that let everyone else do that well.
• A finished system to babysit. Much of this doesn't exist yet. If you want to operate a mature data platform rather than build one, you'll be frustrated here.

Tech You'll Touch

• Warehouse & pipelines - Redshift, dbt, Airflow
• Event tracking - Segment
• BI - Lightdash (primary), Tableau and Metabase (sunsetting)
• AI tooling - Claude Code, Codex, Brain (our internal AI toolkit), and any tool that makes you more effective or efficient
• Observability - an AI-powered Analytics Engineer agent (freshness monitoring, anomaly detection, dbt lineage) you'll scale up, plus the quality and impact tooling you'll add around it

You don't need every box checked. You need hands-on depth in the warehouse/pipeline layer and credible experience keeping a BI tool and tracking plan healthy at company scale.

Benefits

Compensation & Benefits

• Base salary: $75k-$120k/year
• Fully remote: This work needs deep focus, building monitors, untangling pipelines, and we trust you to manage your environment. Async collaboration is the norm.
• Flexible PTO: We focus on results. Take what you need.

LawnStarter provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. We comply with applicable state and local laws governing nondiscrimination in employment.

To apply: https://weworkremotely.com/remote-jobs/lawnstarter-data-governance-and-platform-manager-1

Who we are

At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences.

Our dedication to remote-first work, and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands.

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Hiring and how we work

We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions!

Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings.

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See yourself at Twilio

Join the team as Twilio’s next Business Intelligence Analyst.

About the job

This position is needed to provide actionable insights into strategic operations initiatives through the application of your expertise in quantitative analysis, technical systems, and leadership in analytics.

Twilio’s Customer Experience Ops Customer Intelligence team is looking for a curious and action-oriented analyst with a passion for using data to influence decision making and deliver product insights. The ideal candidate is comfortable navigating complex problems, determining the right data to focus on and is able to derive insights and recommendations based on disparate data. This role interacts with stakeholders at all levels throughout the organization and helps inform product, compliance, and delivery strategy.

Responsibilities

In this role, you’ll:

• Work with technical program managers to inject data into decision making and planning to increase confidence in strategic business outcomes via defining OKRs, designing and building insight generating reports and dashboards, and partnering cross functionally to source and process product data.
• Leverage SQL programming skills and data visualization tools to communicate product insights and recommendations to stakeholders at all levels. Standardize, maintain, and document metrics, models, datasets, and dashboards leveraging tools such as Tableau, Confluence, Acryl, and code.
• Source, identify, and leverage data and insights for time-critical and strategic decision making.
• Partner with leaders to successfully roll out and enable the adoption of dashboards and metrics.
• Work closely with product leadership to monitor and improve product performance while collaborating with business leaders to drive exceptional product offerings. Measure and analyze product value and value proposition through metrics.
• Collaborate with data producers and consumers during the product development lifecycle to ensure consistent data quality and availability for reporting post launch.
• Own and foster stakeholder partnerships by acting as a trusted advisor.

Qualifications

Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn’t followed a traditional path, don’t let that stop you from considering Twilio. We are always looking for people who will bring something new to the table!

*Required:

• 3-5 years of professional experience performing quantitative analysis, building dashboards and reports, working with business partners to convert ambiguous, messy data into tangible and actionable results that influence product and business impacting decisions in a fast paced industry.
• Ability to think strategically and initiate, refine, and complete projects with minimal guidance in an often ambiguous environment.
• Excellent verbal and written communication skills.
• Proficient level experience writing, developing, and performing data deep dives and writing complex queries in SQL and SQL-like relational data languages
• Minimum 2 years Tableau experience developing and managing dashboards is required.
• Demonstrated ability in building reports, metrics, dashboards, etc. for analytics projects that often require data preparation processes such as data extraction, cleansing, mapping, loading and operationalizing workflows in production.

Desired:

• Familiarity or hands-on experience utilizing Generative AI tools (e.g., Gemini, GitHub Copilot, ChatGPT) to optimize SQL query writing, data analysis workflows, and documentation is a plus.
• Experience in telephony, email, messaging, social media, or other electronic communications is a plus.
• Experience or familiarity with data warehousing and/or ETL processes, and distributed computing technologies (Hive/Presto/Spark/Zeppelin) is a plus.
• Experience in BI reporting tools like Looker is a plus.
• Experience with unstructured data is a plus.

Location

This role will be Remote, and based in Colombia

Travel

We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings.

What We Offer

Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location.

Twilio thinks big. Do you?

We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That’s why we seek out colleagues who embody our values — something we call Twilio Magic. Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts.

So, if you’re ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn’t what you’re looking for, please consider other open positions.

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Stay alert to recruitment fraud

We care about your safety. Scammers sometimes impersonate Twilio recruiters through fake job postings, emails, websites, or messages. Please ensure you are engaging with an official @twilio.com email address. We will never ask for payment, gift cards, cryptocurrency, or banking information during the recruiting process. We do not make job offers without a formal interview process or conduct interviews exclusively through text-based messaging apps.

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Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.

Data Ideology

At DI, we provide Data & Analytics expertise to drive measurable business outcomes, often solving complex business problems for our clients. Our data analytics advisory services enable our customers to transform data into insights by driving a culture of empowerment and ownership of results. Our team consists of highly motivated individuals passionate about learning, understanding, collaborating, and intellectually curious.  For more information about Data Ideology, visit www.dataideology.com

Data Analyst– Contract

We are looking for Data Analyst to join our growing team. A Data Analyst will leverage their business and technical knowledge to organize and manage deliverables in a data warehouse consolidation and business intelligence implementation project, while also working with business and technical teams to understand business strategy and objectives, gather information, and ensure business requirements are being fulfilled throughout the entire data & analytics lifecycle.

Key Responsibilities

To perform in this position successfully, an individual must be able to perform each essential duty satisfactorily. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. Other duties may be assigned to meet business needs.

• Data Analysis and Interpretation:
  • Conduct in-depth analysis using the data warehouse to identify trends, patterns, and insights.
  • Interpret complex data sets and communicate findings to both technical and non-technical stakeholders.
• Data Extraction and Transformation:
  • Assist with ETL processes to extract, transform, and load data from various sources.
  • Collaborate with IT teams to create seamless data integrations.
• Quality Assurance and Testing
  • Perform thorough data validation and testing to ensure the highest possible data quality.
  • Clearly define and communicate when quality standards are not being met.
• Problem Solving
  • Perform root cause analysis to identify the underlying or fundamental causes of an issue or problem.
  • Demonstrate ability to offer suggestions and solutions to remedy issues and promote sustainability.
• Collaboration and Communication:
  • Work closely with cross-functional teams, including IT and business stakeholders, to align on goals and key deliverables.
  • Effectively prioritize tasks to meet established team goals.
• Documentation:
  • Accurately document data mappings and definitions.
  • Outline standard processes and procedures of core activities

Supervisory Responsibilities: None

Qualifications

Education and Experience:

Education and Experience:

• Bachelor’s degree in healthcare or computer science related field preferred, but not necessary.
• 2+ years’ experience with any programming language (SQL, PLSQL, R, Python, etc)
• 2+ years’ experience in data analytics on any data warehouse (Oracle, SQL, Snowflake)
• Healthcare experience a plus
• Agile/SAFe experience a plus

Work Environment:

• Remote work from home.
• Hours of work and days are generally Monday through Friday. Specific business hours will depend on client needs.

Physical Demands:

• Must be able to remain in a stationary position 50% of the time.
• The person in this position must occasionally move about inside the office to access file cabinets, library stacks, office machinery, etc.
• Constantly operates a computer and other office productivity machinery, such as a calculator, copy machine, and printer.
• The person in this position frequently communicates with clients and coworkers. Must be able to exchange accurate information in these situations.

Data Ideology is an EEO Employer

The Commercial Pricing Analyst supports the development of competitive, profitable, and scalable commercial solutions by providing costing, pricing, financial modeling, and performance analysis.

By bringing together next-gen technology and the finest live data available, Genius Sports is enabling a new era of sports for fans worldwide, delivering experiences that are more immersive, interactive and personalised than ever before. Learn more at geniussports.com.

THE ROLE:

As a Support Services Data and Reporting Analyst, you’ll help teams across Support and Operations use data to make informed decisions, improve performance and automate recurring processes. You’ll work hands-on across data analysis, reporting, platform integrations and automation - gathering requirements, analysing data from multiple sources, building data models, and helping teams establish reliable metrics and structures for internal stakeholders and clients.

This role increasingly works with data held in a cloud data warehouse, using modern data-transformation practices, so SQL is essential.

WHAT YOU’LL DO:

• Analyse data generated by Support and Operations activities, as well as data required by other business teams, to identify trends, answer operational questions and support evidence-based decisions.
• Gather, clarify and document reporting and analytics requirements from stakeholders, including account management, customers, product development and other relevant teams.
• Use SQL to query, validate, combine and investigate data, primarily through the company’s data warehouse.
• Develop, maintain and improve dashboards, reports and analytical solutions in Sigma Computing for multiple internal and external stakeholders.
• Contribute to data modelling and transformation activities.
• Integrate and reconcile information from relevant systems, which may include Microsoft Power BI, Excel, Salesforce, Monday.com and warehouse data.
• Automate recurring reporting and operational tasks to improve accuracy, consistency and efficiency.

WHAT YOU’LL BRING

• Working knowledge of SQL, with the ability to write queries for data extraction, filtering, joins, aggregation and validation.
• Experience in data analysis and analytics, including interpreting business requirements, investigating data and communicating useful findings.
• Experience with Microsoft Power BI, plus Sigma Computing or another business-intelligence/data-visualisation platform.
• Knowledge of relational databases and core data concepts, with confidence working with structured data.
• Experience handling complex Excel workbooks, including advanced formulas.
• Experience integrating, comparing or reconciling data from multiple sources.
• Strong documentation discipline and experience applying clear, consistent analytical standards.

WHAT YOU’LL BRING

• Snowflake, dbt, Python or R.
• Excel macros or automation.

The monthly salary for this full-time role ranges from €2790 to €3376 gross. This role will also be eligible to take part in Genius Sports Group’s benefits plan.

You will work Monday to Friday, 8-hour days, with a start time between 10:00 and 20:00 (for example 10:00–18:00, 11:00–19:00 or 12:00–20:00).

We enjoy an ‘office-first’ culture and maximize opportunities to collaborate, connect and learn together. Our hybrid working models differ depending on your role and location.

As well as a competitive salary and range of benefits, we’re committed to supporting employee wellbeing and helping you grow your skills, experience and career. Learn more about how rewarding life at Genius can be at Reward | Genius Sports.

One team, being brave, driving change

We strive to create an inclusive working environment, where everyone feels a sense of belonging and the ability to make a difference. Learn more about our values and culture at Culture | Genius.

Let us know when you apply if you need any assistance during the recruiting process due to a disability.

By bringing together next-gen technology and the finest live data available, Genius Sports is enabling a new era of sports for fans worldwide, delivering experiences that are more immersive, interactive and personalised than ever before. Learn more at geniussports.com.

THE ROLE:

As a Support Services Data and Reporting Analyst, you’ll help teams across Support and Operations use data to make informed decisions, improve performance and automate recurring processes. You’ll work hands-on across data analysis, reporting, platform integrations and automation - gathering requirements, analysing data from multiple sources, building data models, and helping teams establish reliable metrics and structures for internal stakeholders and clients.

This role increasingly works with data held in a cloud data warehouse, using modern data-transformation practices, so SQL is essential.

WHAT YOU’LL DO:

• Analyse data generated by Support and Operations activities, as well as data required by other business teams, to identify trends, answer operational questions and support evidence-based decisions.
• Gather, clarify and document reporting and analytics requirements from stakeholders, including account management, customers, product development and other relevant teams.
• Use SQL to query, validate, combine and investigate data, primarily through the company’s data warehouse.
• Develop, maintain and improve dashboards, reports and analytical solutions in Sigma Computing for multiple internal and external stakeholders.
• Contribute to data modelling and transformation activities.
• Integrate and reconcile information from relevant systems, which may include Microsoft Power BI, Excel, Salesforce, Monday.com and warehouse data.
• Automate recurring reporting and operational tasks to improve accuracy, consistency and efficiency.

WHAT YOU’LL BRING

• Working knowledge of SQL, with the ability to write queries for data extraction, filtering, joins, aggregation and validation.
• Experience in data analysis and analytics, including interpreting business requirements, investigating data and communicating useful findings.
• Experience with Microsoft Power BI, plus Sigma Computing or another business-intelligence/data-visualisation platform.
• Knowledge of relational databases and core data concepts, with confidence working with structured data.
• Experience handling complex Excel workbooks, including advanced formulas.
• Experience integrating, comparing or reconciling data from multiple sources.
• Strong documentation discipline and experience applying clear, consistent analytical standards.

WHAT YOU’LL BRING

• Snowflake, dbt, Python or R.
• Excel macros or automation.

The monthly salary for this full-time role ranges from €2790 to €3376 gross. This role will also be eligible to take part in Genius Sports Group’s benefits plan.

You will work Monday to Friday, 8-hour days, with a start time between 10:00 and 20:00 (for example 10:00–18:00, 11:00–19:00 or 12:00–20:00).

We enjoy an ‘office-first’ culture and maximize opportunities to collaborate, connect and learn together. Our hybrid working models differ depending on your role and location.

As well as a competitive salary and range of benefits, we’re committed to supporting employee wellbeing and helping you grow your skills, experience and career. Learn more about how rewarding life at Genius can be at Reward | Genius Sports.

One team, being brave, driving change

We strive to create an inclusive working environment, where everyone feels a sense of belonging and the ability to make a difference. Learn more about our values and culture at Culture | Genius.

Let us know when you apply if you need any assistance during the recruiting process due to a disability.

El Data Scientist existe para habilitar decisiones de producto, negocio y operación mediante el diseño, desarrollo e integración de soluciones analíticas y de machine learning end-to-end.

As a Business Analytics Specialist, you will analyze data across business areas to support performance monitoring and decision-making.

Job Title: Measurement Operations Analyst

Location: Remote - US Only

About InMarket

Since 2010, InMarket has been the leader in 360-degree consumer intelligence and real-time activation for thousands of today’s top brands. Through InMarket’s data-driven marketing platform, brands can build targeted audiences, activate media in real time, and measure success in driving return on ad spend. InMarket’s proprietary Moments offering outperforms traditional mobile advertising by 6x.* Our LCI attribution platform, which won the MarTech Breakthrough Award for Best Advertising Measurement Platform, was validated by Forrester to drive an average of $40 ROAS for our clients.

*Source: Wordstream US Google Display Benchmarks for Mobile Media

About the role

As a Measurement Operations Analyst, you will be responsible for owning all technical and operational aspects of campaigns for the Measurement portion of the business. You will work across multiple systems and teams both internally and externally to ensure optimal results with minimal friction. In this role, you will be working closely with Sales, Measurement Account Managers, Publishers, Agencies and Brands to ensure proper asset implementation and uncover any issues by troubleshooting quickly to resolve. You will also help QA, test, and collect feedback to help shape and build the right products for our business and clients.

Your daily impact as a Measurement Operations Analyst

• Support and work in conjunction with Measurement Account Management team as technical expert on the portfolio of measurement product offerings
• Quality assurance and client facing publisher support of 3rd party tags for implementation- streamlining processes to avoid inaccurate results/corrupt data
• Identifying and troubleshooting discrepancies to resolution
• Subject Matter Expert of measurement dashboards, platforms and pixel generation to support teams cross-functionally in campaign execution
• Technical support partnering with brands and agencies to onboard pixel implementation on websites through testing and validation of custom website measurement product offerings
• Certification/Onboarding of new Publisher Partners
• Reporting oversight to monitor and ensure clean data
• Provide custom/ad-hoc reporting to internal and external parties

Your experience and expertise

• 3+ years work experience in Ad Ops or similar role
• 1+ year(s) client facing experience is preferred
• Proficient in Excel and/or quantitative analysis
• Working knowledge of HTML/JavaScript
• Familiarity with multiple DSPs (ie. DV360, TTD, etc.) and 3rd Party Asset/Tracking providers (ie. DV360, DoubleVerify, MOAT, etc)
• Familiarity with AI tools
• Experience with debugging tools. ie. Charles Web Debugging Proxy, Fiddler, etc.
• Experience with website and cross-device tagging and tracking
• Experience with Clean Room environments is a plus
• Experience in SQL is a plus

Benefits Summary

• Competitive salary, stock options, flexible vacation
• Medical, dental and Flexible Spending Account (FSA)
• Company Matched 401(k)
• Unlimited PTO (within reason)
• Talented co-workers and management
• Agile Development Program (For continued learning/professional development)
• Paid Paternity & Maternity Leave

For candidates in California, Colorado, and New York City, Illinois, Minnesota, New Jersey, Vermont, Washington and Massachusetts the Targeted Base Salary Range for this role is $71,000 -$78,000.

Actual salaries will vary depending on factors including but not limited to work experience, specialized skills and training, performance in role, business needs, and job requirements. Base salary is subject to change and may be modified in the future. Base salary is just one component of InMarket’s total rewards package that also may include bonus, equity, and benefits.  Ask your recruiter for more information!

At InMarket we are committed to a culture that supports diversity, inclusion, belonging and equal opportunity. We celebrate all people and believe everyone deserves respect regardless of race, gender, sexual orientation, backgrounds, experiences, abilities or beliefs.

InMarket is an Equal Opportunity Employer (EOE). Qualified applicants are considered for employment without regard to age, race, color, religion, sex, national origin, sexual orientation, disability, or veteran status.

Join Vonage and help us innovate cloud communications for businesses worldwide! Why this role matters: We are looking for a Data Scientist to own our demand and revenue intelligence capabilities....

About Block Renovation

Block Renovation is rebuilding the $500B+ renovation industry. We’ve built a nationwide platform that connects homeowners with high-quality contractors and brings transparency, predictability, and scalability to home renovation. Our mission is simple but ambitious: empower millions of homeowners to create spaces they love while helping thousands of contractors build thriving businesses. We are a fast-growing, technology-enabled marketplace operating across the U.S., and we’re just getting started.

The Role

We’re looking for a Rev Ops Manager to build and own the reporting layer that tells us what’s actually happening in the business, and then to lead the highest-priority work that comes out of it. To lead high priority projects that drive our business forward, including building and owning the reporting layer that drives insights and steers direction across teams, distilling insights into solutions, and moving quickly to launch projects leveraging AI.

This is a highly cross-functional role for someone who thrives in ambiguity and is excited to solve problems across the business. You’ll sit at the intersection of strategy, data, execution, and AI, with direct visibility into the company’s most important decisions. Reporting to the COO, you’ll work across teams to identify opportunities, shape priorities, and turn ideas into

What You’ll Do

Drive Revenue & Business Impact

• Identify and lead the highest-priority strategic initiatives that drive revenue, growth, and efficiency.
• Use data and business insights to identify opportunities, size their potential impact, and develop a plan to capture them.
• Partner cross-functionally to take initiatives from idea through execution, owning outcomes rather than simply making recommendations.
• Continuously look for opportunities to improve conversion, increase revenue, reduce costs, and make the business more efficient.

Own Business Reporting & Analytics

• Own leadership, Board, and investor reporting end-to-end, including the underlying queries, data integrity, metrics, and first draft of the narrative.
• Build the reporting and analytical infrastructure that a clear view of business performance; including recurring reporting to run with minimal manual intervention.
• Be the analytical partner to Sales: own pipeline reporting, conversion and cohort analysis, rep performance visibility, and forecast support so Sales leadership can focus on coaching and execution.
• Own contractor network analytics, including subscription performance, profile health, supply and market coverage, retention, and churn.

Turn Data Into Action

• Identify trends, opportunities, and problems before they become obvious to the rest of the organization.
• Turn qualitative and quantitative signals—including support tickets, sales calls, and contractor conversations—into recurring insights that inform Product and GTM decisions.
• Partner closely with Engineering to translate operational and data needs into technical solutions.

Build Operational Leverage & Automation

• Own vendor and cost visibility, including contract inventory, renewal tracking, and spend benchmarking.
• Build scalable processes, systems, and workflows in partnership with the teams that will ultimately operate them.
• Lead cross-functional execution across Engineering, Sales, CX, Finance, and other teams to turn analysis into shipped outcomes.
• Use AI-native tools, automation, and reusable workflows to eliminate repetitive work and create leverage for yourself and the broader organization.
• Apply judgment where automation falls short—we value accurate, honest answers over confident but incorrect ones

What We’re Looking For

• At least 5+ years of experience revenue operations, business operations, strategy, consulting, analytics, or marketplace operations,
• A scrappy, hands-on operator who is willing to roll up their sleeves and solve problems themselves.
• AI-native: automation is how you work, not a tool you occasionally reach for. You codify recurring analysis into repeatable workflows and build leverage for the rest of the team—not just yourself.
• Strong analytical and problem-solving skills, with a demonstrated ability to turn data into action—and to own the numbers, including when they’re wrong.
• Fluency with SQL and modern data/BI tools. You can get to the answer yourself without waiting on Engineering.
• Highly organized, with a track record of managing complex, cross-functional initiatives from start to finish.
• Comfortable operating with significant autonomy and ambiguity. Nobody here will hand you a prioritized queue.
• Experience partnering closely with Sales, Product and Engineering teams.
• Strong written and verbal communication skills. You’ll write things the CEO and Board read.

Compensation & Benefits

• Equity in an early-stage, high-growth company
• Hybrid flexibility + “work from anywhere” time
• Health, dental, and vision insurance
• 401(k) with match
• 12 weeks fully paid family leave
• PTO

Block Renovation is proud to be an equal opportunity employer and is committed to building an inclusive, diverse workplace.

Job Title: Measurement Operations Analyst

Location: Remote - US Only

About InMarket

Since 2010, InMarket has been the leader in 360-degree consumer intelligence and real-time activation for thousands of today’s top brands. Through InMarket’s data-driven marketing platform, brands can build targeted audiences, activate media in real time, and measure success in driving return on ad spend. InMarket’s proprietary Moments offering outperforms traditional mobile advertising by 6x.* Our LCI attribution platform, which won the MarTech Breakthrough Award for Best Advertising Measurement Platform, was validated by Forrester to drive an average of $40 ROAS for our clients.

*Source: Wordstream US Google Display Benchmarks for Mobile Media

About the role

As a Measurement Operations Analyst, you will be responsible for owning all technical and operational aspects of campaigns for the Measurement portion of the business. You will work across multiple systems and teams both internally and externally to ensure optimal results with minimal friction. In this role, you will be working closely with Sales, Measurement Account Managers, Publishers, Agencies and Brands to ensure proper asset implementation and uncover any issues by troubleshooting quickly to resolve. You will also help QA, test, and collect feedback to help shape and build the right products for our business and clients.

Your daily impact as a Measurement Operations Analyst

• Support and work in conjunction with Measurement Account Management team as technical expert on the portfolio of measurement product offerings
• Quality assurance and client facing publisher support of 3rd party tags for implementation- streamlining processes to avoid inaccurate results/corrupt data
• Identifying and troubleshooting discrepancies to resolution
• Subject Matter Expert of measurement dashboards, platforms and pixel generation to support teams cross-functionally in campaign execution
• Technical support partnering with brands and agencies to onboard pixel implementation on websites through testing and validation of custom website measurement product offerings
• Certification/Onboarding of new Publisher Partners
• Reporting oversight to monitor and ensure clean data
• Provide custom/ad-hoc reporting to internal and external parties

Your experience and expertise

• 3+ years work experience in Ad Ops or similar role
• 1+ year(s) client facing experience is preferred
• Proficient in Excel and/or quantitative analysis
• Working knowledge of HTML/JavaScript
• Familiarity with multiple DSPs (ie. DV360, TTD, etc.) and 3rd Party Asset/Tracking providers (ie. DV360, DoubleVerify, MOAT, etc)
• Familiarity with AI tools
• Experience with debugging tools. ie. Charles Web Debugging Proxy, Fiddler, etc.
• Experience with website and cross-device tagging and tracking
• Experience with Clean Room environments is a plus
• Experience in SQL is a plus

Benefits Summary

• Competitive salary, stock options, flexible vacation
• Medical, dental and Flexible Spending Account (FSA)
• Company Matched 401(k)
• Unlimited PTO (within reason)
• Talented co-workers and management
• Agile Development Program (For continued learning/professional development)
• Paid Paternity & Maternity Leave

For candidates in California, Colorado, and New York City, Illinois, Minnesota, New Jersey, Vermont, Washington and Massachusetts the Targeted Base Salary Range for this role is $71,000 -$78,000.

Actual salaries will vary depending on factors including but not limited to work experience, specialized skills and training, performance in role, business needs, and job requirements. Base salary is subject to change and may be modified in the future. Base salary is just one component of InMarket’s total rewards package that also may include bonus, equity, and benefits.  Ask your recruiter for more information!

At InMarket we are committed to a culture that supports diversity, inclusion, belonging and equal opportunity. We celebrate all people and believe everyone deserves respect regardless of race, gender, sexual orientation, backgrounds, experiences, abilities or beliefs.

InMarket is an Equal Opportunity Employer (EOE). Qualified applicants are considered for employment without regard to age, race, color, religion, sex, national origin, sexual orientation, disability, or veteran status.

Join Vonage and help us innovate cloud communications for businesses worldwide! Why this role matters: We are looking for a Data Scientist to own our demand and revenue intelligence capabilities....

EnergyHub is working to enable a carbon-free, distributed energy future by seamlessly integrating enormous numbers of energy devices with the electric power grid. Our platform coordinates and collects terabytes of data from what will soon be more than 1,000,000 distributed energy devices, such as thermostats, electric vehicles and home batteries.

Coordinating and evaluating the performance of all of these devices to forecast and estimate the delivered grid value requires state-of-the-art data science, control systems and machine learning. As such, EnergyHub seeks to hire an Energy Data Scientist to join EnergyHub’s Analytics Engineering team. As an Energy Data Scientist you will work closely with other data scientists and analytics engineers to improve the models used for evaluation of our control algorithms. You will collaborate with the Data Science and Power Systems Intelligence team to understand the algorithms and optimizations used in order to improve our performance evaluation and forecasting abilities. You will also contribute to our data management software systems and will become core to the foundation of a future with carbon-free and distributed energy.

What you will do:

• You will drive the development of M&V methodologies and data science models for more accurate and transparent evaluation of our advanced grid services from fleets of distributed energy resources.
• You will write production-level code, prototype new data products, and apply machine learning algorithms to energy IoT data
• You will work to translate data from one of the largest distributed energy datasets in the electricity industry into actionable insights for electric utilities and other energy industry stakeholders
• You will collaborate closely with stakeholders inside and outside of EnergyHub including Data Engineering, Client Success, Marketing, Sales, Product, and Market Development teams.
• Other duties as assigned

Who you are:

• You are passionate about enabling a carbon-free, distributed energy future
• You thoroughly enjoy finding valuable insights in large, complex datasets
• You have experience with Python and the scientific stack (pandas, numpy, scipy)
• You have proficiency in SQL and understand good data modeling practices (basic ETL/ELT)
• You have a practical comprehension of basic machine learning algorithms and are familiar with popular software packages such as Sklearn and Tensorflow.
• You can explain results from large-scale data analyses to diverse audiences in a way that is clear, interesting and actionable
• You can have fun while working on really hard problems with really smart people

Bonus points if:

• You have experience in the measurement and verification (M&V) of control and optimization of distributed energy resources
• You have experience in using Snowflake, dbt and understanding analytics engineering development practices
• You have experience with at least one BI tool such as Sigma, Tableau, Looker, etc)
• You have experience with scaling data science products in the cloud (e.g., Databricks, AWS, GCP, Azure)
• You have a strong background in mathematics and statistics
• You have power systems expertise, including three-phase distribution network modeling

Please note that sponsorship of new applicants for employment authorization, or any other immigration-related support, is not available for this position at this time.

Why work for EnergyHub?

• Collaborate with outstanding people: Our employees work hard, do great work, and enjoy collaborating and learning from each other.
• Make an immediate impact: New employees can expect to be given real responsibility for bringing new technologies to the marketplace. You are empowered to perform as soon as you join the team!
• Gain well rounded experience: EnergyHub offers a diverse and dynamic environment where you will get the chance to work directly with executives and develop expertise across multiple areas of the business.
• Work with the latest technologies: You’ll gain exposure to a broad spectrum of IoT, SaaS and machine learning obstacles, including distributed fault-tolerance, device control optimization, and process modeling to support scalable interaction with disparate downstream APIs.
• Be part of something important: Help create the future of how energy is produced and consumed. Make a positive impact on our climate.

About EnergyHub

EnergyHub empowers utilities and their customers to create a clean, distributed energy future. We help consumers turn their smart thermostats, EVs, batteries, and other products into virtual power plants that keep the grid stable and enable higher penetration of solar and wind power.

To learn more, visit energyhub.com.

Company Benefits

EnergyHub offers a generous benefits package including 100% paid medical for employees and a 401(k) with employer match. We offer a casual environment, the flexibility to set your own schedule, a fully stocked fridge and pantry, free Citi Bike membership, secure bike rack, gym subsidy, paid parental leave, and an education assistance program.

EnergyHub is an Equal Opportunity Employer

EOE, Including Disability/Vets. Reasonable accommodations are available for individuals with disabilities throughout the application process. If you are a person with a disability needing assistance with the application process, please contact accommodations.apply@energyhub.net.

In connection with your application, we collect information that identifies, reasonably relates to or describes you (“Personal Information”). The categories of Personal Information that we may collect include your name, government-issued identification number(s), email address, mailing address, other contact information, emergency contact information, employment history, educational history, and demographic information. We collect and use those categories of Personal Information about you for human resources and other business management purposes, including identifying and evaluating you as a candidate for potential or future employment or future positions, recordkeeping in relation to recruiting and hiring, conducting analytics, and ensuring compliance with applicable legal requirements and Company policies. By submitting your application, you acknowledge that we may retain some of the personal data that you provide in your application for our internal operations such as managing our recruitment system and ensuring that we comply with labor laws and regulations even after we have made our employment decision.

Notice To Third Party Agencies:

EnergyHub understands the value of professional recruiting services. However, we are not accepting resumes from recruiters or employment agencies for this position. In the event we receive a resume or candidate referral for this position from a third-party recruiter or agency without a previously signed agreement, we reserve the right to pursue and hire those candidate(s) without any financial obligation to you.

The base salary range of this opportunity is listed below and is determined within a range based on factors including qualifications, location and experience.  This allows opportunity for growth and development within the role.  The base salary offered is part of a total compensation package.

Base Salary Range

$100,000—$156,750 USD

About Gusto

At Gusto, we’re on a mission to grow the small business economy. We handle the hard stuff — payroll, health insurance, 401(k)s, and HR — so owners can focus on their craft and their customers. With teams in Denver, San Francisco, and New York, we support more than 500,000 small businesses nationwide and are building a workplace that reflects the people we serve.

All full-time employees receive competitive base pay, benefits, and equity (RSUs) — because everyone who helps build Gusto should share in its success. Offer amounts are determined by role, level, and location. Learn more about our Total Rewards philosophy.

AI is a fundamental part of how work gets done at Gusto. We expect all team members to actively engage with AI tools relevant to their role and grow their fluency as the technology evolves. AI experience requirements vary by role and will be assessed during the interview process.

About the Role:

Gusto’s Customer Experience team is changing how we serve small businesses: new service models, a telephony platform migration, and the data infrastructure to support both. We are hiring a Business Intelligence Analyst to own the data layer that makes this work.

You will build the pipelines, models, and dashboards that make CX data trustworthy and self-serve, then use that foundation to answer causal questions about what actually moves customer outcomes. The strongest candidates pair real coding and statistical depth with the judgment to know which question is worth answering.

About the Team:

CX Data and Insights is the analytical backbone of Gusto’s Customer Experience organization. We define the metrics CX leaders run the business on, and we produce the analysis that shapes operational roadmap decisions.

Here’s what you’ll do day-to-day:

• Lead: Own ambiguous problems, design analysis and measurement frameworks, and introduce policies and practices by which data integrity is monitored and enforced within your domain.
• Execution: Deliver multiple high-impact projects, balancing trade-offs to maximize business value, and maintain clear expectations of deliverables and timelines.
• Strategic Partnership: Partner with CX leaders, cross-function data-science teams, tool developers (i.e. Salesforce), and data engineering to align on strategy.
• Analytical Rigor: Apply advanced statistical methods and AI-driven anomaly detection to proactively uncover opportunities, diagnose performance issues, and shape CX strategy, separating signal from noise. Navigate messy, conflicting data sources to establish reliable sources of truth. Use AI to accelerate hypothesis generation, code drafting, cross-source reconciliation, validation, and build agents to automate repetitive tasks.
• Develop and scale reporting: define DBT and Snowflake data pipeline requirements for evolving CX data sources, and build and maintain monitoring systems and streamlit dashboards for day-to-day operation and self-serve insights.
• Independence: Work with minimal guidance to prioritize, create, and deliver data projects, proactively resolving conflicts or misalignment across stakeholders.
• Scale the Craft: Up-level the team’s best practices in data modeling and schema design, expand our toolsets (e.g., Databricks for AI-augmented modeling and anomaly detection) where they accelerate CX outcomes, drive improvements in data quality, rigor, and adoption of better data capabilities, and mentor other data practitioners.
• Communication: Present complex findings in a structured, compelling way to technical and non-technical stakeholders, fostering a data-informed mindset across the company.

Here’s what we’re looking for:

• 3+ years of experience in Data Analytics, Data Engineering, or Data Governance.
• Strong SQL and Python proficiency, capable of querying and analyzing large datasets with ease.
• Strong foundation in data modeling, schema design, and data quality best practices, with functional experience working on cloud platforms like Snowflake.
• Proven experience building and maintaining robust data reporting pipelines and ETL workflows.
• Demonstrated experience designing or operating governance for AI-assisted analytics outputs. At minimum: validation standards for AI-generated code and metric definitions, drift and source-of-truth audits on dashboards that feed operational decisions, and documented rules for when human review is non-negotiable on performance-adjacent data products. Comfort working inside an organization’s AI use policy.
• Clear, direct communication style. You can explain a complex data investigation to a non-technical stakeholder in 1-2 sentences before diving into the details.
• Comfortable working independently, managing competing priorities, and driving projects forward without waiting for perfect requirements.
• Frequent, practical use of AI in analytics workflows with concrete examples (not aspirational interest). You can describe specific ways AI has changed how you scaffold pipelines, write and review code, validate data, or generate documentation, and you know where human verification is non-negotiable.

Our cash compensation amount for this role is $111,160/yr to $138,950/yr in Denver & most major metro locations, and $134,735/yr to $168,419/yr for San Francisco & New York. Final offer amounts are determined by multiple factors including candidate location, experience and expertise and may vary from the amounts listed above.

Gusto has physical office spaces in Denver, San Francisco, and New York City. Employees who are based in those locations will be expected to work from the office on designated days approximately 2-3 days per week (or more depending on role). The same office expectations apply to all Symmetry roles, Gusto’s subsidiary, whose physical office is in Scottsdale.

Note: The San Francisco office expectations encompass both the San Francisco and San Jose metro areas.

When approved to work from a location other than a Gusto office, a secure, reliable, and consistent internet connection is required. This includes non-office days for hybrid employees.

Our customers come from all walks of life and so do we. We hire great people from a wide variety of backgrounds, not just because it’s the right thing to do, but because it makes our company stronger. If you share our values and our enthusiasm for small businesses, you will find a home at Gusto.

Gusto is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Gusto considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Gusto is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. We want to see our candidates perform to the best of their ability. If you require a medical or religious accommodation at any time throughout your candidate journey, please fill out this form and a member of our team will get in touch with you.

Gusto takes security and protection of your personal information very seriously. Please review our Fraudulent Activity Disclaimer.

Personal information collected and processed as part of your Gusto application will be subject to Gusto’s Applicant Privacy Notice.

Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. Binance is trusted by more than 320 million people in 100+...

Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. Binance is trusted by more than 320 million people in 100+...

We’re transforming the grocery industry

At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers.

Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table.

Instacart is a Flex First team

There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events. Learn more about our flexible approach to where we work.

Overview

The Marketing Enablement & Technology (MET) team sits natively within Instacart’s Marketing organization, owning the data foundations that power Paid Marketing, SEO, and Retailer Marketing attribution. These datasets directly inform how we allocate hundreds of millions of dollars in marketing spend and how we measure growth.

We’re hiring an Analytics Engineer II to help build and evolve the marketing analytics data foundation. In this role, you’ll independently design and deliver high-quality, business-aware data models and pipelines that Data Scientists and Analysts trust — owning your work end-to-end, raising the quality bar through code reviews and design discussion, and growing toward broader technical ownership of marketing data.

About the Job

• Marketing Analytics Data Development: Independently build and maintain high-quality dimensional data models and ETL pipelines that support marketing analytics across Paid Marketing, SEO, Retailer Marketing, and attribution — delivering complete data assets end-to-end with minimal oversight.
• Cross-functional Partnership: Work closely with Data Scientists, Analysts, and Marketing stakeholders to translate analytical needs and business questions into data requirements, and deliver trusted, decision-ready datasets.
• Data Quality Ownership: Own data quality for the models you build — writing tests, documentation, and monitoring, and resolving data issues at their root cause across the marketing workflows you support.
• Code Review & Design: Conduct thorough code reviews, write and share designs publicly before building, and apply simple, reusable modeling patterns that leave the codebase better than you found it.
• Pipeline Evolution & Observability: Improve existing marketing data pipelines to reduce manual effort and improve performance, enhance observability (logging, metrics, freshness and quality checks), and participate in incident response for the data platform.

About You

Minimum Qualifications

• 3–5 years of experience in Analytics Engineering, Data Engineering, or closely related roles, with hands-on ownership of production data models and pipelines.
• Strong SQL skills and hands-on experience building well-architected dimensional data models (star schemas, fact/dimension tables, SCDs).
• Hands-on experience with the modern data stack, including dbt, Snowflake, and Airflow.
• Working knowledge of marketing data and metrics — including paid media performance, attribution concepts, and channel-level measurement — or the ability to ramp quickly.
• Demonstrated ability to deliver complete data models and pipelines independently, manage multiple priorities, and write clean, well-documented, well-tested code.
• Effective communicator who can collaborate across data, marketing, and engineering teams to understand requirements and deliver solutions.

Preferred Qualifications

• Experience partnering with Data Scientists on experimentation, attribution, or incrementality measurement.
• Familiarity with marketing platforms (ie Google Ads, Meta, Google Analytics, SEO tooling).
• Python experience for automation or advanced transformations.
• Comfort using AI-assisted developer tools to improve code quality and speed (e.g., generating tests, validating logic, comparing suggestions).
• Experience contributing to analytics engineering best practices such as testing, documentation, or data quality standards.

#LI-Remote

Instacart provides highly market-competitive compensation and benefits in each location where our employees work. This role is remote and the base pay range for a successful candidate is dependent on their permanent work location. Please review our Flex First remote work policy here. Currently, we are only hiring in the following provinces: Ontario, Alberta, British Columbia, and Nova Scotia.

Offers may vary based on many factors, such as candidate experience and skills required for the role. Additionally, this role is eligible for a new hire equity grant as well as annual refresh grants. Please read more about our benefits offerings here.

For Canadian based candidates, the base pay ranges for a successful candidate are listed below.

CAN

$145,000—$153,000 CAD

About Sittercity

Sittercity, a Bright Horizons company, is a technology platform working to reimagine the child care industry. Finding, hiring and managing high-quality, trustworthy and enriching child care has never been simple, for parents or caregivers. We want to change that. At Sittercity, you can imagine and create solutions that will revolutionize a multi-billion industry and bring relief to parents and care providers alike, all while having a lot of fun! Boost your career as we launch into our next phase of growth and help build a platform that changes the way child care works.

The Opportunity

As an Analytics Manager working with our marketing and product operational teams, you will be instrumental in helping Sittercity achieve its mission to make child care finally work. You will join our analytics organization, which powers data-driven decision making throughout Sittercity. In this role, you will work closely with our business teams to shape strategy and drive growth at the company.

Key Responsibilities

• Investigate business questions and provide teams with actionable insights that drive value
• Maintain and augment our data model and Looker instance to enable company-wide data literacy
• Communicate with executives and key stakeholders through presentations, well-designed data visualizations and interactive dashboards
• Define testing frameworks and success criteria to quantify performance and inform strategy
• Build unit-economic models for a subscription business including marketing attribution, retention, cohort forecasting, and customer segmentation
• Partner with Product and Engineering to improve tracking within our applications, allowing for better visibility into customer behavior

Required Qualifications

• Analytically minded, focused on the business implications of data
• Experience presenting technical concepts to non-technical audiences
• Proficiency in SQL and familiarity with relational databases
• Advanced Excel skills
• Bachelor’s Degree or equivalent experience
• 3-4+ years of experience in a data-driven field (analytics, consulting, digital advertising, eCommerce etc.)

Desired Qualifications

• Familiarity with scripting languages that support data manipulation (Python preferred)
• Experience creating data visualizations and interactive dashboards (Looker preferred)
• Experience designing and measuring A/B tests in a product or marketing capacity
• Experience using raw event data in analysis

Why you should join us

Recognized as one of the best places to work by Built In Chicago, we offer an inclusive, innovative, and fun environment that rewards passionate and curious individuals. You will have an opportunity to influence our [product and technology] in an entrepreneurial environment with enterprise backing that has a huge impact on the childcare industry.

Salary and Other Compensation Disclosures

The annual starting salary for this position is between $110,000 - $120,000 annually. The pay range listed here is what Sittercity in good faith anticipates offering for this job opening. Actual compensation offered within this range will depend on a variety of factors including experience, education and training, certifications, geography, and other relevant business or organizational factors. This position is also eligible for bonus awards.

Benefits:

The Company offers the following benefits for this position, subject to applicable eligibility requirements: medical insurance, dental insurance, vision insurance, 401(k) retirement plan, life insurance, long-term disability insurance, and short-term disability insurance. Also, depending on hire date and subject to applicable eligibility requirements and accrual schedules, new employees in this role receive up to: 9 paid holidays annually; 40 hours of sick time per year based on full-time schedule, and 80 hours of vacation time per year based on full-time schedule (vacation time may be used for sick leave purposes under any applicable state or local sick or safe time law).

Perks:

• Remote Role
• Company events, social outings and volunteer opportunities
• Tuition assistance, college coach, and enhanced family support
• Sittercity membership, backup child/adult/elder care, and childcare center discounts

Sittercity is committed to hiring a diverse workforce.  We consider all applicants for employment without regard to race, color, sex, sexual orientation, gender identity, religion, age, national origin, disability, veteran status, or any other basis as prohibited by federal, state or local law. Sittercity participates in E-Verify and background checks all employees.

This role must be performed remotely in IL, MA, NJ, NY, OH, OR, TX, CO, NH, VT, WA, WI, FL,GA

This posting is anticipated to remain open until October, 2026.