Analyze product usage patterns, feature adoption, and engagement to assess product health and identify opportunities for improvement.
Define, build, and maintain key product funnels (e.g., activation, adoption, expansion) to monitor user journeys and uncover optimization opportunities.
Segment customers based on behavioral and business attributes to identify upsell and expansion opportunities, underutilization, and potential risk signals.
Provide actionable insights and data-driven recommendations to product and business stakeholders, including what opportunities to focus on and why.
Measure the impact of product changes, experiments, and initiatives, and develop scalable monitoring frameworks to track performance over time.
Build and maintain dashboards and reports to support business and product insights.
Partner with stakeholders to understand their needs, frame analytical problems, and deliver actionable solutions.
Ensure data quality through collaboration with data and analytics teams.
Communicate insights clearly to both technical and non-technical audiences.
Manage smaller projects and contribute to team knowledge sharing and mentoring.

Bachelor’s degree in Economics, Mathematics, Statistics, Computer Science, or a related field (Master’s is a plus).
3+ years of experience in data analysis, product analytics, business intelligence, or similar analytical roles.
Strong proficiency in SQL and experience working with relational databases.
Experience working with large datasets and analyzing product usage or customer behavior data to solve business problems.
Strong foundation in statistics, probability theory, and quantitative analysis, including experience designing and interpreting experiments (e.g., A/B testing).
Experience with data visualization and BI tools (e.g., Tableau) to build clear, actionable dashboards and reports.
Ability to work closely with cross-functional stakeholders (e.g., Product, Analytics/Data, and UI/UX teams) to understand needs and translate them into analytical solutions.
Strong communication and storytelling skills, with the ability to present insights to both technical and non-technical audiences.
Proven ability to manage multiple projects and priorities in a fast-paced, collaborative environment.
Proactive and collaborative mindset with a strong focus on stakeholder partnership and enabling data-driven decision-making.
Experience or interest in leveraging AI tools and automation to enhance analytics workflows.

Insights Analyst – Product Analytics

Key skills