Analytics Engineer at Aios Medical — Remote, 90-150k/year inc equity

About Aios Medical

Our overarching mission is to accelerate the mass-market adoption of consumer biotech products so every human can live at least 100 healthy years. Our immediate focus is excess bodyweight. We are increasing the accessibility of GLP-1 medications to accelerate their take-up to help solve obesity worldwide.

To do that, we're building an AI-powered clinical operating system: ClinicOS. ClinicOS makes it effortless for consumer brands to easily offer direct-to-patient healthcare, globally. We work with external Brand Partners, as well as using this infrastructure to scale our own internal consumer healthcare brands.

Since we launched Fella Health in the US in June 2021, Fella has positioned itself as no-nonsense weight loss for busy bigger guys. Today, we operate multiple brands across the US & UK — our two biggest are Fella Health (US & UK) & Bolt Pharmacy (UK).

Our infrastructure will have served 100 million patients worldwide by 2035. We'll then use that direct-to-patient infrastructure to serve next-gen biotech products at-scale to increase the proportion of humans living at least 100 healthy years.

In so doing, we'll become the world's first trillion dollar healthcare company.

How far along are we?

We've grown >2000x since Aug 2021, >200x since Aug 2022, >20x since Aug 2023. We're >$50M/yr revenue. We've been cashflow positive since June 2023. We're >10,000 customers with high NPS.

We're a young startup and we're just getting started. This is still Day 1 and all our work is ahead of us.

We're backed by top healthcare & consumer investors:

• Y Combinator
• Global Founders Capital — backed Facebook, Slack, LinkedIn, Revolut, Rocket Internet
• AngelList Early Stage Fund (backed by Naval Ravikant)
• BrandProject (venture-builder behind 2 unicorns)
• The founders of Indeed, Curative (unicorn), Alan (unicorn), Kaia Health (>$300mil valuation), Vouch Insurance (>$500mil valuation), Not Boring (Packy McCormick)

You can read more about working with us here: Working at Aios Medical

Being a Analytics Engineer at Aios Medical:

Aios Medical is building a world-class team.

As Senior Analytics Engineer, your fundamental role is to take full ownership of our data stack, building reliable pipelines, making data accessible across all teams, and setting the foundations for a future centralized data team.

You'll start within the engineering team, focused on optimizing current systems and setting up what's missing: rebuilding our pipelines, building ETL jobs that sync our sources to the data warehouse, setting up dbt transformations, and making sure things run smoothly.

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 identify what metrics matter most, then build the systems and logic to track 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.

This is a full-time, fully remote role, and you'll work async in the timezone of your choice as long as you're around until midday Pacific Time for calls as needed.

You'll report directly to Gzim (Head of Engineering). You'll also work closely with: Ben (Head of Product) & Dave (Head of Growth).

Key Responsibilities:

You'll be the go-to person for all things data at Aios. You'll fix what's broken, build what's missing, and soon build the foundation for a horizontal data team.

• Build Stable ETL: 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 Heavy: You'll spend significant time on data engineering fundamentals: warehouse architecture, dbt transformation logic, pipeline tooling, and all the technical decisions that keep data flowing reliably.
• Analytics: 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.
• 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.

Need to have:

• Experience: You've worked with data for 5+ years and have at least 3+ years focused on data engineering. You've owned pipelines, warehouses, and reporting in fast-moving environments.
• Data 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.
• Data Models and Querying: You can write and debug complex SQL queries, optimize for performance, work with large datasets, and build reusable data models. You're comfortable with both ad-hoc analysis and production transformation
• 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.

Nice to have:

• Growth Metrics: You've supported teams measuring CAC, CPL, funnel stages, or other acquisition metrics. You can speak the same language as growth leads and turn ideas into dashboards.
• Clinical/Product Metrics: You've worked with operational metrics in healthcare or similar industries (e.g. fulfillment speed, delivery time).
• Analytics Tools: You've used tools like Metabase or similar to help teams explore data, visualize results, and share reports.
• Rudderstack: You've worked with customer data platforms like Rudderstack, and understand how to manage event tracking and integrations.
• Figure it out: You're the kind of person who doesn't stop at "why is this broken?"you dig until it works. You can debug a failing sync, validate weird numbers, or reverse engineer a broken report.

Compensation & Benefits:

Compensation: $90-150k/year inc equity

Healthcare: comprehensive medical insurance (if appropriate)

Vacation: PTO with a yearly minimum (≥2wks/yr + local national holidays)

Remote: our team is fully distributed across the world and functions fully remotely

Personal development: budget for books, courses, coaching ($1200/yr)

Personal wellness: budget for gym, health apps ($1200/yr)

Coaching: free biweekly health coaching

Equipment: Macbook & work-from-home equipment provided as needed

What are we missing? We're still early so you get to shape our culture.

How to apply

Apply on Ashby or the platform you are in.

Email with:

• Resume
• LinkedIn