Requirements:

• 4+ years of experience in a similar analytics role
• 1+ years of experience in a lead 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 effectively communicate insights, presenting analysis results in a clear and compelling manner

Will be a plus:

• Experience in full-cycle product analytics, including owning product and marketing analytics and driving data-informed decisions
• Experience with subscription monetization products, including an understanding of key metrics, user retention, churn analysis, and revenue optimization strategies
• Basic knowledge of Data Science, including familiarity with machine learning concepts, predictive modeling, and clustering techniques

Responsibilities:

• Lead the product analytics team (3 members)
• Engage with key stakeholders, such as product managers and 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 and uncover insights to provide actionable recommendations that improve the product and marketing performance