At a Glance
- Tasks: Drive data-driven decisions to enhance female health through innovative product analysis.
- Company: Join Flo, the world’s leading health & fitness app focused on female health.
- Benefits: Competitive salary, performance incentives, generous leave policies, and a 5-week sabbatical.
- Other info: Hybrid work model with a focus on collaboration and professional development.
- Why this job: Make a real impact on women's health while growing your career in a supportive environment.
- Qualifications: 5+ years as a Data/Product Analyst with A/B testing and advanced data analysis skills.
The predicted salary is between 36000 - 60000 £ 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 Product Analyst - Data in London employer: Flo Health
Flo is an exceptional employer, offering a vibrant work culture that prioritises diversity, equity, and inclusion while empowering employees to make a meaningful impact in female health. With competitive salaries, generous leave policies, and a commitment to professional growth through innovative projects, employees can thrive in a supportive environment that values collaboration and creativity. The unique opportunity to work in a hybrid model, alongside a passionate team dedicated to building the future of digital health, makes Flo an attractive choice for those seeking rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Product Analyst - Data in London
✨Get Involved in Data Challenges
Participate in data challenges like Kaggle competitions or DrivenData to showcase your skills and network with other data enthusiasts. Not only will you build your portfolio, but you can also catch the eye of potential employers like Flo Health.
✨Connect with Local Data Communities
Join local data science meetups or online communities like Data Science Society to engage with professionals in the field. These platforms are great for networking, discovering job opportunities, and keeping your fingers on the pulse of industry trends.
✨Leverage Your University’s Resources
If you're still in university, make full use of your career services. They might have part-time roles tailored for students like you, and often have direct connections with companies looking to hire talented interns in data science roles.
✨Apply Directly Through Our Website
Don’t forget to check out our jobs at Flo Health and apply through our website! It’s the best way to ensure your application gets seen. Plus, we love hearing from passionate individuals like us who are eager to make an impact in the data science world.
We think you need these skills to ace Senior Product Analyst - Data in London
Some tips for your application 🫡
Show Your Data Skills:In your CV, make sure to highlight your proficiency with key data analysis tools and programming languages like Python, R, or SQL. We want to see that you've got hands-on experience with data manipulation and visualisation, so if you've worked on any relevant projects or coursework, include those details to really showcase your skills!
Tailor Your Projects Towards Data Science:When it comes to your portfolio, focus on showcasing projects that highlight your data-science abilities. Include analyses, dashboards, or any predictive models you've built. If you've contributed to Kaggle competitions or have a GitHub repository with data projects, make sure to link those—these demonstrate your practical experience and problem-solving abilities.
Express Your Motivation in the Cover Letter:Since this is a part-time role, we want to know why you're particularly interested in juggling this with your other commitments. Use your cover letter to express your passion for data science and how this role at Flo Health aligns with your career aspirations. Show us you're excited about learning and growing with us!
Keep It Concise Yet Informative:Part-time positions often receive many applications, so keep your documents clear and to the point! Aim for a concise CV detailing your relevant experiences without unnecessary fluff. Be sure to include your availability in your cover letter as well—that helps us in the decision-making process!
How to prepare for a job interview at Flo Health
✨Brush Up on Your Stats!
Given you're eyeing a part-time role in data science, make sure you’re on top of your statistical methods and data analysis techniques. Expect questions around regression, hypothesis testing, and maybe even some statistical programming languages like R or Python during the interview with Flo Health.
✨Show Off Your Projects!
It's crucial to have a portfolio that showcases your data science projects. Highlight your part-time work with specific data sets, models you've built, or analyses you've conducted. Having tangible examples will demonstrate your hands-on experience and problem-solving skills to Flo Health.
✨Familiarise Yourself with Tools of the Trade
Make sure you’re well-versed in data science tools like Jupyter Notebook, Tableau, or SQL. You might get technical questions or even a practical test at Flo Health, so having a comfort level with these tools will definitely be an advantage.
✨Be Ready to Discuss Real-World Applications
Since this is a part-time role, employers at Flo Health will likely appreciate your understanding of how data science can address actual business problems. Be prepared to discuss any relevant case studies or how you would approach specific challenges in real scenarios.
