Simple Life is the #1 AI-powered health coaching app for adults who want to lose weight and enjoy a healthier lifestyle—without the stress or extremes. Our mission is to empower people to feel their best every day. By challenging traditional, restrictive approaches, Simple offers a more sustainable method grounded in ease, personalization, and real-life support.
Simple has had over 17 million downloads and more than 300,000 5-star reviews, having helped millions lose weight successfully and sustainably. Simple has earned recognition as Best Virtual Coach and one of the Top 100 AI companies — all thanks to a dedicated global team driving real impact.With SIMPLE as a partner in their pocket, users feel cared for and empowered to embrace — and stick to — new healthy habits. To learn more, visit simple.life.
Right now we are looking for a talented Senior Product Analyst who enjoys exploring product metrics, uncovering insights, and helping drive growth through analytical thinking.
Push the pace of innovation and build a future of a healthier world with us!
What we’re looking for:
- Advanced SQL skills — ability to design, write, and maintain complex, highly optimized queries on large-scale datasets, using advanced joins, window functions, CTEs, and aggregations; confidence in reviewing query plans and improving performance.
- Experience working with ETL pipelines and building data workflows (Airflow, dbt, or similar); understanding how to ensure data quality, reliability, and timely delivery.
- Python for data analysis and automation, including data wrangling, visualization, and statistical analysis.
- Experience forecasting LTV using cohort analysis, survival models, statistical techniques, or machine learning approaches (at least one of these); ability to select the most appropriate method depending on data quality and the product’s stage.
- Experience with any BI tool (Looker, Superset, Tableau, Power BI, or similar); ability to build intuitive dashboards and self-serve analytics.
- Solid grasp of statistics and experimentation, including A/B test design, power calculations, and post-hoc analysis.
- Strong communication skills to effectively collaborate with growth, marketing, engineering, and other teams.
- A proactive, ownership mindset — someone who enjoys exploring data, spotting trends, and turning them into actionable insights and opportunities.
Nice to have:
- Experience working as a product or data analyst specifically in a subscription-based service (SaaS, mobile subscriptions, OTT, etc.).
- Hands-on experience with machine learning libraries (XGBoost, CatBoost, LightGBM, etc.) for customer segmentation or predictive modeling.
What you’ll do:
- Work on improving the existing LTV forecasting model and develop additional predictive models as needed;
- Participate in evaluating pricing experiments and interpreting results to inform product and marketing strategies;
- Build reports and dashboards to provide visibility into product trends and opportunities;
- Identify patterns and insights in data to determine optimal pricing strategies and uncover new growth levers;
Perks and Benefits:
- Open-minded teams, a welcoming and inclusive company culture, plus the opportunity to make a real difference with a game-changing health tech product;
- A competitive salary package based on your unique expertise, skillset, and impact on the product plus stock options;
- In-office, remote and hybrid work opportunities;
- Relocation package (Cyprus) – optional;
- The equipment whatever you need to be happy and productive;
- A premium SIMPLE subscription;
- 21 days annual leave, plus bank holidays (those observed where you live);
- Flexible hours. We focus on your results, not how long you spend at your desk.
