data analyst for product and growth analytics

The marketplace provides a digital product environment where product and growth analytics support data-driven decision-making, user experience, engagement, conversion, and retention.

• Deliver product and growth analytics to support Product Managers, Growth teams, and business stakeholders in data-driven decision-making;
• Analyze user behavior, product performance, customer journeys, conversion funnels, retention, engagement, and growth metrics;
• Develop, automate, and maintain BI dashboards, KPI reports, and performance monitoring tools for Product and Growth teams;
• Build analytical dashboards to monitor key product metrics, user activity, conversion, retention, engagement, and other growth indicators;
• Conduct funnel, cohort, segmentation, retention, and behavioral analysis to identify product improvement and growth opportunities;
• Perform ad hoc analysis to investigate changes in product and user behavior and answer analytical questions from Product and Growth teams;
• Identify key drivers behind changes in conversion, retention, engagement, customer behavior, and product performance, and provide actionable recommendations;
• Measure and evaluate the impact of new product features, product changes, experiments, campaigns, and growth initiatives;
• Support A/B testing and experimentation, including defining success metrics, analyzing results, and providing recommendations based on data;
• Define analytical logic, metric definitions, data requirements, and calculation rules for dashboards, reports, and data products;
• Work closely with Product Managers, Growth teams, Data Science, and Data Engineering to translate product questions into analytical solutions;
• Work with Data Engineering to develop and improve data marts, datasets, data pipelines, and analytical models required for product and growth analytics;
• Collaborate with Data Governance to ensure consistent metric definitions, data quality, and alignment across product and growth reporting;
• Validate data accuracy, investigate discrepancies, and support the resolution of data quality issues together with technical teams;
• Automate recurring reporting and analytical processes and improve the efficiency and scalability of data analysis;
• Prepare analytical summaries, presentations, and data-driven recommendations for Product, Growth, and management stakeholders;
• Communicate analytical findings clearly to both business and technical stakeholders and translate product and growth questions into analytical and technical requirements.

• Proven experience in Product Analytics, Growth Analytics, Customer Analytics, or Business Analytics, preferably within a digital product, marketplace, e-commerce, or technology environment;
• Strong experience analyzing user behavior, conversion funnels, cohorts, retention, engagement, customer segmentation, and product metrics;
• Experience developing and maintaining BI dashboards, KPI reporting, and product performance monitoring solutions;
• Experience working closely with Product Management, Growth, Data Science, and Data Engineering teams;
• Experience evaluating product changes, experiments, A/B tests, campaigns, and growth initiatives using data;
• Strong SQL and advanced data analysis skills, with experience working with large datasets and analytical models;
• Strong understanding of product and growth metrics and ability to identify key drivers behind changes in user and product performance;
• Strong BI and data visualization skills, particularly with Power BI;
• Strong analytical and problem-solving skills with the ability to turn complex data into actionable product and growth insights;
• Ability to translate product and business questions into analytical approaches, metrics, and technical requirements;
• Strong communication skills with the ability to present analytical findings to both technical and non-technical stakeholders;
• High attention to detail and strong commitment to data accuracy and quality;
• Ability to automate analytical processes and improve the scalability and efficiency of reporting and insights generation.

• No conditions specified