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 effectively communicate insights, presenting analysis results clearly and compellingly.

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 product and marketing performance.

Technologies / tools used by the team: Tableau, SQL, AWS: Redshift, RDS, EC2, S3, Python, Airflow, git