Senior Product Analyst - User Acquisition Team London

Tbwa Chiat/Day Inc
London
3 weeks ago
Create job alert

Senior Product Analyst - User Acquisition Team

London

We’re very proud of our achievements:

In July 2024, we secured a $200M investment led by General Atlantic to help revolutionise women’s health, and became the first purely digital consumer women’s health app to achieve unicorn status!

We’ve had 380M+ downloads, have over 70M monthly users, are #1 by installs in the iOS Health category, hit 4.9 stars on the App Store (3M+ reviews), are backed by 9 VCs, had a 40% revenue increase last year, and topped a valuation of $1B.

We’re a growing, ambitious HealthTech business building the essential digital health partner of tomorrow to empower women, girls, and people who menstruate with the knowledge and support they need to stay well and live better.

Our cycle, ovulation and pregnancy tracking, educational content and anonymised community platform have been trusted for years by millions to help them feel more in control of their health every day.

Now, we’re harnessing the power of data analytics and AI to build a smarter future, one where we all know our bodies better, with an aim to become the essential health partner to women worldwide.

The Job

Flo is a rapidly growing product, and its growth is mainly driven by data-informed decisions. The mission of the Core Analytics team is to ensure that all decisions are supported by consistent and just-in-time data, different analytical teams are aligned in their methods, and tools evolve to speed up working with data on all levels.

Data analysts in the Core team conduct research of their own that impacts many of the teams and supports high-level decisions.

What you'll be doing

You'll be responsible for:

  • Modeling growth in terms of both revenue and users, looking for best user segmentation to understand retention and conversion funnels
  • Presenting findings to both your peers and analytics and business leaders, ensuring that insights are incorporated into decisions and further research
  • Actively looking for ways to improve BI and data architecture
  • Prioritizing projects for analytics engineers
  • Unifying methodology (i.e., for conducting A/B experiments) and making sure best practices are adopted

Your Experience

Must have:

  • 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
  • Experience in data visualization in Looker / Tableau or similar

Nice to have:

  • Experience in subscription business
  • Experience in mentoring other analysts
  • Experience in evangelizing analytical tools and best practices
  • Experience in working with Looker as BI analyst

Reward

People perform better when they’re happy, paid well, looked after and supported.

On top of competitive salaries, Flo's employees have access to:

  • A flexible working environment with the opportunity to come into the office and work from home
  • Company equity grants through Flo’s Employee Share Option Plan (ESOP)
  • Paid holiday and sick leave
  • Fully paid female health and sick leave, in addition to holiday and regular sick leave
  • Workations - an opportunity to work abroad for two months a year
  • Six months paid maternity leave, and one month paid paternity leave (subject to qualifying conditions) inclusive of same-sex and adoptive parents
  • Career growth, progression, and learning development resources
  • Annual salary reviews
  • Unlimited free premium Flo subscriptions
  • A whole host of other benefits (health/pension/social schemes)

Our Culture

We’re problem solvers, we’re adaptable, we’re empathy driven and results led.

People here like working in a fast-paced, multi-national, multi-cultural and ever-changing environment. Everyone has an impact on a powerful mission, and is happy to roll their sleeves up to ideate solutions and put them in place. Being part of a growing business means that sometimes it's not easy and we work hard, but our mission is always at the forefront of what we do.

Diversity, Equity and Inclusion

The strength of our workforce is in the diverse backgrounds of our employees, and Flo is committed to applying its equal opportunities policy at all stages of recruitment and selection. This means recruitment and selection of talent into Flo Health companies is only based on individual merit and qualifications directly related to professional competence. Shortlisting, interviewing, and selection will always be carried out without regard to gender identity or expression, sexual orientation, marital or civil partnership status, color, race, nationality, ethnic or national origins, religion or beliefs, ancestry, age, veteran status, mental or physical disability, medical condition, pregnancy or maternity status, trade union membership, or any other protected characteristics.

#J-18808-Ljbffr

Related Jobs

View all jobs

Senior Product Analytics Manager - Chat

Senior Product Manager - AI & Analytics, Birmingham

Senior Product Manager (Payments)

Senior Product Designer (User-Centric & Design Systems) London

Senior Product Manager [Growth]

Data Director, Personalisation

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

10 Essential Books to Read to Nail Your Data Science Career in the UK

Data science continues to be one of the most exciting and rapidly evolving fields in tech. With industries across the UK—ranging from finance and healthcare to e-commerce and government—embracing data-driven decision-making, the demand for skilled data scientists has soared. Whether you're a recent graduate looking for your first role or a professional aiming to advance your career, staying updated through books is crucial. In this article, we explore ten essential books every data science job seeker in the UK should read. Each book provides valuable insights into core concepts, practical applications, and industry-standard tools, helping you build skills employers are actively looking for.

Navigating Data Science Career Fairs Like a Pro: Preparing Your Pitch, Questions to Ask, and Follow-Up Strategies to Stand Out

Data science has taken centre stage in the modern workplace. Organisations rely on data-driven insights to shape everything from product innovation and customer experience to operational efficiency and strategic planning. As a result, there is a growing need for skilled data scientists who can analyse large volumes of data, build predictive models, communicate findings effectively, and collaborate cross-functionally. If you are looking to accelerate your data science career—or even land your first role—attending data science career fairs can be a game-changer. Unlike traditional online applications, face-to-face interactions let you showcase your personality, passion, and communication skills in addition to your technical expertise. However, to stand out in a busy environment, you need a clear strategy: from polishing your personal pitch and asking thoughtful questions to following up with a memorable message. In this article, we’ll guide you through every step of making a strong impression at data science career fairs in the UK and beyond.

Common Pitfalls Data Science Job Seekers Face and How to Avoid Them

Data science has become a linchpin for decision-making and innovation across countless industries, from finance and healthcare to tech and retail. The demand for data scientists in the UK continues to climb, with businesses seeking professionals who can interpret complex datasets, build predictive models, and communicate actionable insights. Despite this high demand, the job market can be extremely competitive—and many applicants unknowingly fall into avoidable traps. Whether you’re an aspiring data scientist fresh out of university, a professional transitioning from a quantitative role, or a seasoned analyst looking to expand your skill set, it’s crucial to navigate your job search effectively. In this article, we explore the most common pitfalls data science job seekers face and provide pragmatic advice to help you stand out. By refining your CV, portfolio, interview strategies, and communication skills, you can significantly increase your chances of landing a rewarding data science role. If you’re looking for your next data science job in the UK, don’t forget to explore the listings at Data Science Jobs. Read on to discover how to avoid critical mistakes and position yourself for success.