Senior Analytics Engineer; opens in tab
Listed on 2026-07-01
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IT/Tech
Data Engineering, Data Analyst, Business Intelligence
Location: New York
At Justworks, you’ll enjoy a welcoming and casual environment, great benefits, wellness program offerings, company retreats, and the ability to interact with and learn from leaders in the startup community. We work hard and care about our most prized asset - our people.
We’re helping businesses get off the ground by enabling them to focus on running their business. We solve HR issues. We’re data-driven and never stop iterating. If you’d like to work in a supportive, entrepreneurial environment, are interested in building something meaningful and having fun while doing it, we’d love to hear from you.
We're united by shared goals and shared motivations se are best summed up in our company values, which are reflected in our product and in our team.
If this sounds like you, you’ll fit right in.
DepartmentTechnology, Data & Analytics
About The TeamThe Data & Analytics team is Justworks' data and AI center of excellence — a connected set of functions spanning business intelligence, data science, analytics engineering, platform data/ML engineering and AI builders. We've grown significantly over the last several years and continue to build momentum across the business, leveling up maturity in how we deliver insights, govern data, and enable the company to make better decisions.
You’ll find a highly collaborative & diverse group motivated by craft, shared learning, and a genuine commitment to growing our impact for customers while evolving how we work together for our people. Come build with us!
Who You AreYou're a data practitioner with a strong track record for designing, building, and deploying models within a medallion architecture to accelerate reporting, insights, and self-service capabilities. You have a strong understanding of how to use data to answer business questions, and are passionate about unlocking that capability for data teams and business stakeholders across the organization. You enjoy partnering closely with stakeholders, translating their questions into trustworthy data products, and you display an enthusiasm for working through complex problems together.
You have a keen sense of the big picture and can effectively drive projects toward realistic, yet rewarding business outcomes.
As a Senior Analytics Engineer, you will be a key contributor in helping the organization derive more value from its datasets through scalable, modular design of our enterprise data models and semantic layer. You will work closely with data engineers, analysts, and business stakeholders to develop & iterate on data requirements, put data models into production, and surface them through governed BI.
Your work will directly support enhanced operations and decision‑making as we improve the quality of our data assets and scale of our data practice.
- Transform raw data into high‑quality data models that are easily queried and understood by various business units (e.g., Sales, Marketing, Product, Engineering, Operations)
- Design, build, and maintain our semantic layer using Snowflake semantic views — defining metrics, entities, and business logic so stakeholders can self‑serve trustworthy, consistently‑defined data without re‑deriving logic
- Partner with analysts and business teams to build and govern BI content in Tableau and Redash — curated data sources, certified dashboards, and reusable metrics — and reduce dashboard sprawl through consolidation and clear standards
- Partner directly with stakeholders to translate business questions into data requirements, co‑develop metric definitions, and drive adoption of governed models and dashboards
- Proactively identify opportunities to close gaps in reporting and insights generation by architecting new business facts and dimensions
- Apply effective data testing and sensitive data management strategies to ensure the quality and security of information provided to the business
- Level up our information design, data governance, and analytics engineering practices by defining our internal standards for lineage, maintainability, performance, and cost management
- Provide technical leadership and mentorship to junior and mid‑level team members, fostering best practices in…
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