Senior Manager, Analytics Engineering
Justworks
| Company | Justworks |
| Category | Engineering |
| Location | New York |
| Remote | On-site (inferred) |
| Employment | Not stated |
| Level | Manager |
| Salary | Not stated by the employer |
| Posted | 7 Jul 2026 |
| Last verified | 30 Jul 2026 |
| Source | Employer career page (greenhouse) |
Description
Who We Are
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 at Justworks. These are best summed up in our company values, which are reflected in our product and in our team.
Our Values
If this sounds like you, you’ll fit right in. 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'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!
The Analytics Engineering team sits at the center of how Justworks turns raw data into the foundation for trustworthy analysis and reporting across the company.
Who You Are
You are a data leader with a curious mindset, a passion for building, and an eye for optimization. You thrive when enabling the strategic and effective use of data within and outside of a data team. You are adept at understanding business challenges and framing them as enablement opportunities. You possess strong empathy, interpersonal skills, and attention to detail, enabling you to work effectively with your team and cross-functional partners. You can clearly translate complex data concepts into assets that enable data-informed strategy, and have a growing track record of guiding projects to successful outcomes.
We're seeking a Senior Manager of Analytics Engineering to lead our analytics engineering team, reporting directly to our Senior Director of Data & Analytics. You'll set the technical direction and roadmap for analytics engineering, grow and develop your team, and partner closely with Business Intelligence, Data Governance, and Data Platform Engineering leadership to make sure our data foundation scales with the business.
You'll stay close enough to the work to be a credible technical voice (reviewing designs, unblocking hard modeling problems) while representing analytics engineering in broader DNA and cross-functional planning and decision-making. This role requires a strong analytical and data modeling background, a deep understanding of the modern data stack, and a passion for mentoring and growing teams.
Your Success Profile
What You Will Work On
Data Modeling & Technical Direction
Own the design, implementation, and maintenance of scalable data models and ELT pipelines, a star schema architecture, and reporting solutions that power business intelligence, reduce time to insights, and elevate our company-wide data literacy.
Define the analytics engineering data strategy and roadmap, identifying opportunities and driving execution on projects leveraging data modeling, data warehouse architecture, and other analytics engineering best practices.
Uphold and evolve best practices for data model development, testing, and documentation within your team to deliver iteratively and efficiently.
Lead significant data architecture decisions — inclu