Requirements

• 2+ years of experience in a similar analytics role
• Advanced SQL proficiency for querying and analyzing large datasets
• 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

Would be a plus

• 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

Responsibilities

• Engaging with key stakeholders (product managers, marketers) to identify needs and shape the analytics strategy
• Prioritizing tasks based on business value and potential impact, balancing urgent requests with long-term strategic initiatives
• Building and maintaining dashboards, reports, and key metrics to support data-driven decision-making
• Designing, running, and analyzing A/B tests to validate hypotheses, measure the impact of product changes, and drive continuous improvement
• Collecting requirements and maintaining the event logging template to ensure accurate and comprehensive tracking of user interactions and key product events
• Ensuring data quality, uncovering insights, and providing actionable recommendations to improve the product and marketing performance