Data Analyst, Marketing

At SheMed, our mission is to revolutionise women’s health by providing accessible and personalised solutions tailored specifically for women. We are a startup consisting of enthusiastic people who are committed to empowering women with the knowledge and tools they need to take control of their health and well-being.

SheMed is an innovative and advanced weight loss programme that is groundbreaking in the world of women’s health. We have an unwavering dedication to quality care, and strive to create a supportive and compassionate community where every woman can thrive and achieve optimal health. In doing so, we believe SheMed will be a strong force in closing the women’s health gap.

We are seeking a highly analytical, commercially minded Senior Data Analyst, Marketing to become a key partner to the marketing team at SheMed.

This role will be embedded within marketing, helping the team make smarter, faster, data-led decisions across acquisition, retention, customer journeys, and campaign performance. You will drive the measurement of key growth channels, including Meta, Google, and influencer partnerships, and provide clear insight into what is working, what is not, and where we should focus next.

You will play a critical role in connecting marketing behaviour with wider business performance, including subscription metrics, customer acquisition cost, lifetime value, and retention.

The ideal candidate combines strong technical expertise with excellent commercial judgement and communication skills. You should be comfortable working with complex datasets, but equally confident translating your analysis into clear, non-technical narratives for senior leadership.

Please note: This is an office-based role, Monday to Friday, 9am – 6pm. We are based in Euston, London.

WHAT YOU’LL WORK ON:

• Own marketing performance measurement across channels including Meta, Google, paid social, affiliates, and influencer partnerships.
• Develop attribution frameworks to evaluate acquisition, conversion, retention, and revenue performance.
• Partner with marketing teams to optimise campaigns, audience targeting, creative performance, and budget allocation.
• Analyse the end-to-end customer journey to identify drop-off points, behavioural trends, and growth opportunities.
• Deliver insights to improve conversion, onboarding, CRM, lifecycle communications, retention, and customer value.
• Own reporting and analysis for key subscription KPIs including CAC, LTV, payback period, churn, retention, conversion rate, subscription growth, and channel ROI.
• Apply advanced analytics using SQL, Python, or R for cohort analysis, forecasting, predictive modelling, and Marketing Mix Modelling.