At a Glance
- Tasks: Join a dynamic team to drive data-driven decisions and identify growth opportunities.
- Company: Flo, the world’s #1 health & fitness app focused on female health.
- Benefits: Competitive salary, performance incentives, generous leave policies, and professional growth support.
- Other info: Hybrid work model with a supportive and inclusive culture.
- Why this job: Make a real impact in digital health while working with cutting-edge technology.
- Qualifications: 5+ years as a Data/Product Analyst with A/B testing and advanced data analysis skills.
The predicted salary is between 43200 - 72000 £ per year.
A decade of building – and we’re still accelerating. Flo is the world’s #1 health & fitness app worldwide on a mission to build a better future for female health. Now, we’re building the next generation of digital health – AI-powered, privacy-first, clinically backed – to help our users know their body better.
Join our Health, Localisation, and Internationalisation team as a Senior Product Analyst. Working closely with Product Managers, UX Researchers, Designers, and Engineers to support data-driven decision-making across the product.
- Identifying new growth opportunities, including underserved user segments, use cases, and regions with high potential for product expansion.
- Helping the team understand which company-level goals can be influenced through experimentation, defining relevant proxy metrics, and monitoring them over time.
- Supporting hypothesis formulation and prioritization using data: estimating segment sizes, potential impact, expected uplift, and defining clear success metrics, while accounting for user behavior patterns.
- Helping the team prioritize ideas and initiatives based on expected impact, confidence level, and effort.
- Evaluating experiment results in terms of their overall impact on core product metrics, not just local effects.
- Translating analysis results into clear, actionable recommendations for the team and stakeholders.
At least 5+ years of work experience as a Data/ Product Analyst; Experience with A/B testing, knowledge of statistics for A/B testing; Advanced SQL/Python / R for data analysis; Experience in data visualization in Python/ Looker /Tableau or similar.
We care about craft, ship with purpose, and always raise the bar.
- 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
- In-person collaboration and work in a hybrid model, with 3 days per week spent in the office
- 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: We’re proud to be an equal opportunity employer, and we welcome applicants from all backgrounds, communities and identities.
Senior Data Product Analyst in London employer: Flo Health
Flo is an exceptional employer, offering a dynamic work culture that prioritises innovation and collaboration within the health and fitness sector. With a strong commitment to employee growth, competitive benefits including enhanced parental leave, and a unique 5-week fully paid sabbatical at your 5-year anniversary, Flo fosters an environment where you can thrive both personally and professionally while making a meaningful impact on female health worldwide.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Product Analyst in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at Flo or similar companies. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Prepare for interviews by practising common questions related to data analysis and product management. We recommend using real-world examples from your experience to showcase your skills and how they align with Flo's mission.
✨Tip Number 3
Showcase your analytical skills! Bring along a portfolio of your past projects or analyses. This will help us see your thought process and how you tackle data-driven decision-making.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining our team at Flo.
We think you need these skills to ace Senior Data Product Analyst in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of Senior Data Product Analyst. Highlight your experience with A/B testing, SQL, and data visualisation tools like Looker or Tableau. We want to see how your skills align with our mission at Flo!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Share your passion for female health and how your background can contribute to our goals. Be sure to mention specific projects where you've made an impact using data-driven decision-making.
Showcase Your Analytical Skills:In your application, don’t just list your skills; demonstrate them! Include examples of how you've used data to influence product decisions or identify growth opportunities. We love seeing real-world applications of your expertise.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you’re considered for the role. Plus, it’s super easy – just a few clicks and you’re in!
How to prepare for a job interview at Flo Health
✨Know Your Data Inside Out
As a Senior Data Product Analyst, you'll need to demonstrate your expertise in data analysis. Brush up on your SQL, Python, and R skills, and be ready to discuss specific projects where you've used these tools. Prepare to explain how you approached A/B testing and the statistical methods you applied.
✨Understand the Product and Its Users
Familiarise yourself with Flo's mission and the health and fitness app landscape. Think about underserved user segments and potential growth areas. Be prepared to share insights on how you would identify and prioritise these opportunities based on data-driven decision-making.
✨Showcase Your Experimentation Skills
Since experimentation is key in this role, come equipped with examples of past experiments you've conducted. Discuss how you formulated hypotheses, defined success metrics, and evaluated results. Highlight your ability to translate complex data into actionable recommendations for stakeholders.
✨Communicate Clearly and Confidently
Effective communication is crucial when working with cross-functional teams. Practice explaining your analysis and findings in a clear, concise manner. Use visualisation tools like Looker or Tableau to illustrate your points, and be ready to answer questions about your thought process and decisions.
