Business Intelligence Analyst 1

Chegg Inc. is dedicated to helping working adults build the skills they need for better jobs. They are seeking a Senior Product Analyst to analyze and improve the learner experience by identifying engagement metrics and collaborating with various teams to enhance product design and decision-making.

Responsibilities:

• Partner with Learning Science and Instructional Design to conceptually map how learning model standards—difficulty curves, skill levels, instructional flow—translate into learner outcomes
• Create metrics for learning quality, persistence, and proficiency—moving beyond clicks and usage to identify the metrics that are true predictors of completion and satisfaction
• Develop and maintain dashboards that visualize learner progress, satisfaction, and experience quality, creating a single source of truth for program health
• Partner with Product Managers and Learning Scientists to design and analyze experiments (A/B, multivariate, feature pilots) that measure the impact of new formats, UX improvements, or product features
• Collaborate with Learning Science to link quantitative data with qualitative insights, grounding product design in evidence
• Communicate insights clearly and visually—craft data stories and presentations that turn analysis into actionable narratives influencing decisions and roadmap priorities
• Continuously improve analytics systems—automate processes, refine models, and ensure accuracy and accessibility across teams. Integrate AI as an internal enabler wherever it makes sense
• Drive a culture of user-centric, evidence-based decision-making so every product choice is grounded in data and aligned to learner needs
• Think creatively about how we can leverage data analytics solutions to solve business problems in ways we might not have considered

Requirements:

• 3–6 years of experience in product or business analytics, ideally within a B2C, SaaS, or education context
• Advanced SQL skills and fluency in Python or R for data analysis, modeling, and visualization, and comfortable with integrating AI into methods to support data-driven recommendations & drawing insights
• Strong analytical toolkit—comfortable with A/B testing, funnel analysis, time series, and behavioral modeling
• Proven ability to translate data into actionable product insights
• Experience building dashboards in Tableau, Looker, or a similar visualization tool
• Strong communication skills—able to synthesize complex findings into clear, actionable recommendations
• Collaborative and proactive; comfortable working with Product, Engineering, and Learning teams
• User-centric mindset—curious about how design and data together shape learner outcomes
• Experience analyzing engagement or learning data within an edtech, learning, or content platform
• Familiarity with UX research methods or human-centered design
• Knowledge of statistical experimentation, hypothesis testing, and causal inference
• Comfort with working in agile product environments
• Passion for learning analytics, learning science, or experience optimization