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!
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.
Professional proficiency in both Russian and English (B2 or above) to comfortably communicate with international and local teams.
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.
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;
Originally posted on Himalayas
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