Senior Product Analyst, Kiddom

• 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
• 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

Desirable

• We are looking for a Senior Product Analyst with a strong background in using data to shape and inform product strategy
• In this role, you will focus on measuring platform engagement, analyzing user behavior data, and generating insights that correlate learning platform usage with students’ motivation, engagement, and persistence
• Familiarity with edtech, especially working with survey data, is a big plus
• We need someone who is highly proficient in SQL (ideally with dbt) and Python, and can translate complex analytics findings into compelling stories that drive strategic decisions
• 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