Product Analyst

Proficiency with SQL, Microsoft Fabric, Power BI, Statsig, Python, and Bitbucket. Strong skills in data visualization and dashboard design. Solid statistical foundation, including hypothesis testing, regression, and experimental design. Hands-on experience designing, running, and interpreting A/B tests and other product experiments. Excellent stakeholder management and communication skills—able to convey analytical findings clearly and effectively. Bachelor’s degree in a quantitative field (e.g., Statistics, Economics, Mathematics, Computer Science, or related discipline). Experience in Business Intelligence, Product Analytics, or Digital Analytics roles. Familiarity with marketing performance analysis and campaign attribution. Understanding of key product metrics such as engagement, retention, and conversion. Experience collaborating with data science and engineering teams on analytics projects. A passion for using data to influence product direction and improve user experience.

Partner with Product, Data Science, and Commercial teams to define and monitor key product metrics. Analyze user behavior and feature performance to identify trends, opportunities, and areas for improvement. Design and execute A/B tests around product releases and new feature rollouts to validate hypotheses and measure impact. Conduct ad-hoc and ongoing analyses of marketing channels and campaigns to support strategic decision-making. Build and maintain dashboards and visualizations in Power BI and Fabric to communicate insights effectively. Translate complex data into clear, actionable recommendations for stakeholders across the business. Ensure data quality, accuracy, and consistency across analytics and reporting.