Product Analyst

About the company

SIMPLE is a widely used mobile health product with more than 15 million unique downloads, over 300,000 five-star ratings, and revenue that has been growing by more than 50% year over year. The app supports users with calm, non-judgmental guidance to help them improve nutrition, build a healthier relationship with food, and strengthen overall well-being. It is designed to be flexible, convenient, and supportive, helping people get practical feedback, learn at their own pace, and feel more confident as they build lasting habits. The product is backed by a global team of experts across nutrition, behavior change, digital health, and medicine, and includes Avo, an in-app wellness assistant that offers timely suggestions and instant answers.

Role overview

The company is hiring a Product Analyst who enjoys working with product data, identifying meaningful patterns, and turning findings into growth-focused recommendations. This position suits someone who performs well in a fast-moving environment, takes initiative when examining trends, and can translate analysis into actions that support business and product goals.

Key responsibilities

• Evaluate experiments and help interpret the outcomes so product improvements can be made effectively.
• Contribute to pricing experiment analysis and use the findings to guide product and marketing decisions.
• Help enhance the existing LTV forecasting model and create additional predictive models where needed.
• Create dashboards and reporting tools that make product performance and opportunities easy to see.
• Spot possible growth opportunities by drawing practical conclusions from data.

Required skills and experience

The role calls for advanced SQL capability, including the use of joins, window functions, CTEs, and aggregations, along with the ability to improve query efficiency for large datasets. Candidates should also have experience with ETL pipelines and data workflows using tools such as Airflow, dbt, or similar systems, plus an understanding of how to maintain data quality, reliability, and on-time delivery. Basic Python knowledge is needed for analysis and automation, and hands-on experience with BI tools such as Looker, Superset, Tableau, Power BI, or comparable platforms is expected. A solid grasp of statistics and experimentation is important, including A/B testing design, power calculations, and post-hoc analysis. The role also requires strong communication skills for working with product, marketing, and cross-functional partners, as well as a proactive approach to exploring data and proposing improvement ideas.

Nice to have

• Background as a product or data analyst in a subscription-based business such as SaaS, mobile subscriptions, or OTT.
• Experience conducting pricing A/B tests.

Perks and benefits

• Competitive compensation aligned with experience.
• Flexible work options, including remote, onsite, and hybrid arrangements.
• Work equipment provided to support your setup.
• Access to a premium SIMPLE subscription.
• 21 days of annual leave plus local bank holidays.
• Flexible working hours, with emphasis on outcomes rather than time spent at the desk.

Values and work culture

The team values evidence-based thinking, prioritizing impact, taking ownership, challenging boundaries, and working as a high-performing team. Decisions are expected to be grounded in data, speed and results matter, team members are encouraged to take responsibility beyond their formal role, new ideas and direct feedback are welcomed, and collaboration with trust and accountability is essential.

Additional information

This is a full-time remote role. No stipend or fixed salary amount was specified in the source, although the compensation is described as competitive and based on experience. No application deadline, duration, or internship details were provided.