Analytics Engineer, Care Operations

Analytics Engineer, Care Operations

Full Time – Exempt

Columbus, Ohio

And Health is on a mission to radically improve access and outcomes for the most challenging

chronic health conditions, with the goal of making world-class specialty care accessible and affordable to all. We partner with health systems, community health centers, and independent practices to remove barriers to care to ensure all people have access to the care they deserve.

None of that happens without good data. Every model we build, every intervention we design, and every conversation our care teams have with a partner is only as strong as the data behind it. That’s where you come in.

We’re looking for an Analytics Engineer to be the dedicated data partner to our Care Delivery team — the people on the front lines of getting patients into care and keeping them there. You’ll take raw clinical and operations data and turn it into something a care leader can actually use: a trusted number on a dashboard, a governed metric everyone agrees on, a model that surfaces a problem before it becomes a crisis.

This is an embedded data partner role that sits close to Care Delivery. You’ll be just as comfortable deep in a dbt model or a gnarly SQL query as you are in a room with a VP, translating what the data means and what to do about it. If you like owning a domain end to end — from the metric definition in the semantic layer to the dashboard a leader checks every morning — this role is for you.

The dashboards and data products you build will directly shape how And Health delivers care to thousands of patients managing chronic, often life‑altering conditions. When you catch a data quality issue before it reaches a report, you’re protecting the integrity of decisions that affect real people’s access to care. When you build the semantic layer that lets an analyst self‑serve a trusted metric instead of waiting on you, you’re multiplying the entire team’s ability to act.

This isn’t dashboards for dashboards’ sake — it’s the infrastructure that lets Care Operations see what’s working, fix what isn’t, and prove the value we bring to the partners and patients who depend on us.

• Translate business decisions into metrics — work with stakeholders to understand the decision they’re trying to make, help them articulate what they need, and define the governed metric that answers it.
• Partner with stakeholders from several teams to generate actionable insights that improve And Health’s value to our partners and patients.
• Build internal and external reporting and dashboards that visualize what’s happening, why it’s happening, and what we should do next across pharmacy and care operations.
• Develop the semantic layer in dbt — defining governed metric definitions, curated datasets, and self‑service data products that analysts and stakeholders can consume directly.
• Partner with Data and Software Engineering as a key consumer of the raw data — flagging upstream data quality issues and gaps, and helping shape staging transformations so data arrives in a usable form.
• Build a thorough testing suite across the data platform: schema tests, data quality checks, anomaly detection, and SLA monitoring so stakeholders can trust what they see.
• Partner with the client management team to build the value story for quarterly business reviews.
• Become a domain expert in your assigned area (care operations), translating business logic into accurate, scalable dbt data models.
• Proactively identify data quality issues, gaps in coverage, and opportunities to improve the reliability and usability of the data platform.

• Bachelor’s degree in Computer Science, Economics, Engineering, Mathematics, or a related quantitative field, or equivalent practical experience.

• 6+ years of data analysis or related experience with significant experience partnering directly with business stakeholders.
• Proven ability to turn ambiguous business questions into concrete, governed metric definitions — comfortable leading the discovery conversation with stakeholders rather than just executing a spec.
• Strong analytical…