Analytics Engineer

400M+ downloads. 75M+ monthly users. A decade of building – and we’re still accelerating.

Flo is the world’s #1 health app on a mission to build a better future for female health. Backed by a $200M investment led by General Atlantic, we became the first product of our kind to reach a $1B valuation in 2024 – and we’re not slowing down.

With 6M paid subscribers and the highest-rated experience in the App Store’s health category, we’ve spent 10 years earning trust at scale. Now, we’re building the next generation of digital health – AI-powered, privacy-first, clinically backed – to help our users know their body better.

The job

Who we’re looking for

We’re looking for an analytics engineer who can sit at the intersection of data engineering and analytics. You’ll bring the discipline of engineering to data modeling and transformation, while also understanding how business stakeholders and analysts consume data. You’re motivated by making data clean, discoverable, and trustworthy so that others can do their best work.

You might be:

• A data analyst with strong SQL and Python skills who loves organizing and modeling data
• A data engineer who’s excited to get closer to business context and metrics

What you'll do

• Build and maintain the analytics layer of our data environment, including data transformations, marts, and semantic models.
• Partner with analysts and finance to define and implement core product and business metrics in our BI layer.
• Provide clean, well-documented datasets and BI models that accelerate experimentation, product insights, and reporting.
• Apply validation, testing, and documentation standards to ensure high quality and trust in our data.
• Collaborate with the data platform team on ingestion, architecture, and performance optimization.
• Own data flows end to end, from event tracking definitions through ETL/ELT pipelines to ready-made datasets and dashboards.
• Help define and enforce standards for how data models are stored, queried, and shared across the company
  
  

Requirements

• 5+  years of experience in analytics engineering, data engineering, or data analysis with strong transformation ownership
• Excellent SQL skills, including complex queries, window functions, and performance tuning
• Solid Python skills for ETL/ELT, data wrangling, and workflow automation
• Experience with data modeling techniques such as star schemas and dimensional modeling
• Familiarity with modern data stack tools such as Databricks, Airflow and Spark.
• Understanding of data warehousing concepts including ELT, and optimization.
• Experience building metrics layers or standardizing business metrics is a plus
• Knowledge of testing and version control practices (Git, CI/CD)
• Understanding of product and subscription metrics is an advantage
• Experience with BI, e.g. Looker, Tableau, PowerBI.

#LI-Hybrid #LI-LM12

How we work

We’re a mission-led, product-driven team. We move fast, stay focused and take ownership – from brief to build to impact. Debate is encouraged. Decisions are shared. We care about craft, ship with purpose, and always raise the bar.

You’ll be working with people who take their work seriously, not themselves. It takes commitment, resilience, and the drive to keep going when things get tough. Because better health outcomes are worth it. 

What you'll get

We support impact with meaningful reward. Here’s what that looks like:

• Competitive salary and annual reviews
• Opportunity to participate in Flo’s performance incentive scheme
• Paid holiday, sick leave, and female health leave
• Enhanced parental leave and pay for maternity, paternity, same-sex and adoptive parents
• Accelerated professional growth through world-changing work and learning support
• Flexible office + home working, up to 2 months a year working abroad
• 5-week fully paid sabbatical at 5-year Floversary
• Flo Premium for friends & family, plus more health, pension and wellbeing perks

Diversity, equity and inclusion

Our strength is in our differences. At Flo, hiring is based on merit, skill and what you bring to the role – nothing else. We’re proud to be an equal opportunity employer, and we welcome applicants from all backgrounds, communities and identities. Read our privacy notice for job applicants.