Senior Analytics Engineer

Department

Technology, Data & Analytics

The 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'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 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.

• 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 data modeling, orchestration, data warehouse architecture, data privacy, and analytics enablement
• Perform other related duties as assigned

In the Senior Analytics Engineer, how results are achieved is paramount for your success and ultimately result in our success as an organization. In this role, your foundational knowledge, skills, abilities and personal attributes are anchored in the following competencies:

• Good judgment – the exercise of critical thinking, analyzing and assessing problems and implications, identifying patterns, making connections of underlying issues, understanding risks and developing mitigation strategies, and taking ownership of the outcome.
• Resourcefulness – taking a can‑do approach, even in the face of obstacles and constraints by assessing what's in front of you and effectively and efficiently optimizing what you have, whether it's working on something new or thinking about how to do something better.
• Teamwork and communication – putting our collective best together through documentation, collaboration, relationship‑building, listening, empathy, recruiting, and evangelism.
• Influence and leadership – fostering a community of knowledge‑sharing, collaboration, mentorship, and forward‑thinking.
• Skills and knowledge – the capacity to actively learn and apply specific domain knowledge, know‑how, and best practices to continually enhance and improve.

• A minimum of 5 years of professional hands‑on experience in analytics engineering, data analytics, data engineering, or a similar role
• Extensive…