This role aligns to industry level titles such as Senior Product Analyst, Lead Product Analyst, Senior Data Analyst – Product, Product Analytics Lead. The Product Data Analyst will use data to provide valuable insights on how to increase product adoption, user retention, engagement, and monetization.
Requirements
- Define, analyze, and communicate key performance indicators (KPIs) to enable performance measurement and drive product enhancements.
- Design and build reports, dashboards, and metrics to monitor product performance.
- Conduct trends and cohort analysis for user behavior, A/B testing to improve the user journey, and other types of analysis and experiments to identify potential areas of improvement and recommend changes based on data-driven insights.
- Provide valuable insights on how to increase product adoption rate, user retention, user engagement, and product monetization.
- Participate in product planning and strategy meetings, providing data-driven insights to guide decision making.
- Translate complex quantitative analysis and data into easily understandable results for all levels of the company.
- Work closely with data engineers to clean, refine, and analyze large datasets. Offer clear specifications for the Analytics team to collect and interpret large datasets, identify trends and develop data visualizations.
- Ensure data quality by collaborating with data engineers and implementing data validation practices.
- Stay current on industry trends and latest analytics technologies to continue improving data quality and insights.
- Collaborate with product managers, engineers, and UX designers to influence product design and user experience based on insights.
- Champion a data-driven culture within the organization, advocating for the importance of data in decision-making processes.
