Product & Marketing Analyst
Walking is a fitness app that helps users lose weight and get fit through the simplest activity — walking. The app offers personalized walking plans, step tracking, and progress insights to keep users motivated and consistent. By turning walking into a workout, Walking makes it easy to burn calories, improve endurance, and stay active without complicated workout routines.
Responsibilities
- Engage with key stakeholders (product managers, marketers) to identify needs and shape the analytics strategy
- Prioritize tasks based on business value and potential impact while balancing urgent requests with long-term strategic initiatives
- Build and maintain dashboards, reports, and key metrics to support data-driven decision-making
- Design, run, and analyze A/B tests to validate hypotheses, measure the impact of product changes, and drive continuous improvement
- Collect requirements and maintain the event logging template to ensure accurate and comprehensive tracking of user interactions and key product events
- Ensure data quality, uncover insights, and provide actionable recommendations to improve product and marketing performance
Technologies & tools used by the team
- Tableau, SQL, AWS: Redshift, Python, Airflow, Git
Requirements
- 2+ years of experience in a similar analytics role
- Advanced SQL proficiency for querying and analyzing large datasets
- Strong Python skills (pandas, data visualization, statistics) for data manipulation and analysis
- Solid understanding of statistics, including experiment design, statistical tests, correlation analysis, and segmentation
- Hands-on experience with BI tools such as Tableau or Power BI
- Ability to communicate insights effectively by presenting analysis results in a clear and compelling manner
Nice to have
- Experience in full-cycle product analytics — owning both product and marketing analytics, independently prioritizing analytical tasks, and driving data-informed decisions
- Experience with subscription monetization products — understanding key metrics, user retention, churn analysis, and revenue optimization strategies
- Basic knowledge of Data Science — familiarity with machine learning concepts, predictive modeling, or clustering techniques
