Senior Product Analyst

Key Responsibilities

• Define and monitor key metrics around student engagement, motivation, and learning outcomes to guide product strategy and performance evaluation.
• Use statistical techniques (e.g., correlation, regression, hypothesis testing) to uncover relationships between product usage and student success, integrating survey data for richer insights.
• Build clear, automated dashboards and reports that provide real-time visibility into platform usage and educational impact.
• Collaborate with data engineering to design, implement, and maintain robust data pipelines using SQL (preferably dbt), ensuring accuracy, efficiency, and strong documentation.
• Work closely with Product Managers, Engineers, and Leadership to translate business goals into actionable data insights. Present findings through compelling narratives that inform product improvements and strategic decisions.
• Identify opportunities to enhance data analytics processes, and stay current on emerging tools and best practices—particularly those relevant to the edtech domain.

Required Qualifications

• Educational Background: Bachelor’s or Master’s in Statistics, Mathematics, Data Science, Economics, or a related quantitative field.
• Professional Experience: 5+ years in analytics, data science, or a closely related role.
• Technical Proficiency:
• SQL expertise (dbt experience strongly preferred).
• Proficiency in Python for data analysis, scripting, and building predictive models.
• Metrics & KPIs: Proven track record of designing, implementing, and monitoring metrics to drive product decisions.
• Statistical Analysis: Strong grounding in quantitative methods, including experimental design, hypothesis testing, and correlation studies.
• Survey Data Integration: Ability to interpret and combine survey findings with product usage data for deeper insights.
• Communication & Storytelling: Exceptional skill in translating complex analytical outcomes into clear, actionable recommendations for both technical and non-technical audiences.
• Data Visualization: Familiarity with tools like Looker, Tableau, or Power BI to create clear, actionable insights.
• EdTech Experience (Preferred): Background in analyzing user engagement, motivation, or learning outcomes within education technology environments.

Additional Preferred Experience

• Experience with advanced analytics techniques (e.g., machine learning, clustering, predictive modeling).
• Understanding of data warehouse architectures, including cloud-based solutions (e.g., Snowflake, BigQuery).
• Prior experience with A/B testing frameworks for product experimentation.

Personal Attributes

• Detail-Oriented: You thrive on digging into data nuances and ensuring high data quality.
• Curious & Innovative: You love exploring new ways to mine data for insights and enjoy testing new analytics tools and techniques.
• Collaborative & Empathetic: You’re a team player who understands how to build partnerships across product, engineering, and other stakeholders.
• Self-Starter: You take initiative, work independently, and aren’t afraid to suggest bold ideas.

Why Join Us?

• Impactful Mission: Contribute to the success and motivation of learners worldwide by improving platform experiences and learning outcomes.
• Collaborative Environment: Work alongside a passionate, cross-functional team that values innovation and continuous improvement.
• Growth Opportunities: Access to professional development resources, mentorship, and the chance to shape our growing data organization.