Analytics Engineer, AIOS

• Experience: You’ve worked with data for 5+ years and have at least 2+ years focused on data engineering. You’ve owned pipelines, warehouses, and reporting in fast-moving environments
• Engineering: You’ve built and maintained data pipelines that sync from multiple sources into a central warehouse like Redshift. You’ve set up syncing logic, error handling, and you know what breaks &how to fix it
• Redshift: You’ve used Redshift or a similar cloud warehouse as the core of your stack. You know how to structure data for clean, fast access across teams
• SQL: You’re fluent. You can build queries from scratch, troubleshoot broken ones, and define metrics clearly in SQL with minimal help
• Metric Clarity: You understand what the business is trying to measure. If someone asks for CAC or time to medication, you know how to break that down into the data points required, find the right source, and build it end to end
• Ownership: You don’t need someone to tell you what to build. You’ll figure out what matters, how to define it, and how to track it both for pre and post-conversion journeys
• Autonomy: You’ve worked as a solo operator or early hire before. You know how to prioritize, unblock yourself, and move fast without waiting on others
• Team Builder: You’ve managed a team before. You’re excited to grow a team around you to cover both data engineering and analytics as the function scales

Desirable

• As Data Engineer Lead, your fundamental role is to take full ownership of our data stack, building reliable pipelines, making data accessible acroos all teams, and setting the foundations for a future centralized data team
• You’ll start within the engineering team, focused on fixing what’s broken and setting up what’s missing: rebuilding our pipelines, syncing 20+ sources into Redshift, and making sure every sync works without manual checks
• You’ll make high-impact decisions on tooling, sync frequency, and error handling so the data just works
• At the same time, you’ll help define how we measure our business across the full customer journey: pre-conversion (e.g. CAC, CPL) and post-conversion (e.g. time to medication)
• You’ll work directly with Ben and Dave to understand the questions they’re trying to answer, then build the systems and logic to answer them
• You’ll be both engineer and analyst: making data accessible, and making it meaningful
• Great performance in this role means the pipelines are stable, reporting is self-serve, and we’ve laid the groundwork for a centralized data team that can scale
• You’ll be the one who gets us there
• You’ll report directly to Gzim (Head of Engineering). You’ll also work closely with: Ben (Head of Product) & Dave (Head of Growth)
• Clean Syncs: Our current syncs aren’t as reliable as they should be. You’ll own the flow of data from 20+ sources into Redshift, reducing manual checks, fixing failure points, and making sure everything runs smoothly day to day
• Engineering First: This role leans heavily on data engineering early on. You’ll own the tools, build the warehouse structure, and make the micro-decisions around sync frequency, tooling, and reliability
• Pre + Post Conversion: You’ll support both sides of the business: Growth (e.g. CAC, CPL, funnel metrics) and Product/Ops (e.g. time to medication, delivery times). You’ll stitch the data together so these metrics are clean and trusted
• Solo Operator: This is a senior role. You won’t wait to figure things out. You know what matters, how to define it, and how to build the backend logic to track it
• Centralized Data: This role starts in engineering, but over time, you’ll build a horizontal Data team that owns both data engineering and analytics across the org
• Strategic Partner: You’ll become a key decision-maker on data across the org, balancing reliability, speed, and clarity in how we use data to drive the business

• Apply on Ashby or the platform you are in
• Email lorena+hiring@joinfella.com with:
• Resume
• LinkedIn