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You'll partner closely with Product Managers, Learning Scientists, and Engineers to connect insights to action-defining the metrics that matter, instrumenting data pipelines, and translating findings into design and product decisions. 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.

Job Description Senior Product Analyst Team: Product & Applied Learning Location: Remote (U.S.) About Chegg Skills helps working adults build the skills they need to access better jobs-faster and more affordably. Our Product & Applied Learning team owns the student-facing learning environment-from content and features to user experience and learning models. We're obsessed with delivering a seamless, data-informed learning journey that keeps students progressing with confidence. The Role We're hiring a Senior Product Analyst to help us understand and improve how learners experience our products. You'll analyze how content, features, and user flows perform in practice-identifying where friction exists, where engagement thrives, and how we can create a more effective and intuitive learning experience. You'll partner closely with Product Managers, Learning Scientists, and Engineers to connect insights to action-defining the metrics that matter, instrumenting data pipelines, and translating findings into design and product decisions. Your work will shape how the Product & Applied Learning team builds, measures, and iterates our student experience. This role is ideal for a self-directed, systems-minded analyst who thrives on uncovering insights that make complex experiences simple and effective for learners. What You'll Do<ul><li>Partner with Learning Science and Instructional Design to conceptually map how learning model standards-difficulty curves, skill levels, instructional flow-translate into learner outcomes. </li></ul><ul><li>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. </li></ul><ul><li>Develop and maintain dashboards that visualize learner progress, satisfaction, and experience quality, creating a single source of truth for program health. </li></ul><ul><li>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. </li></ul><ul><li>Collaborate with Learning Science to link quantitative data with qualitative insights, grounding product design in evidence. </li></ul><ul><li>Communicate insights clearly and visually-craft data stories and presentations that turn analysis into actionable narratives influencing decisions and roadmap priorities. </li></ul><ul><li>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. </li></ul><ul><li>Drive a culture of user-centric, evidence-based decision-making so every product choice is grounded in data and aligned to learner needs. </li></ul><ul><li>Think creatively about how we can leverage data analytics solutions to solve business problems in ways we might not have considered. </li></ul> What You Bring Basic Qualifications<ul><li>3-6 years of experience in product or business analytics, ideally within a B2C, SaaS, or education context. </li></ul><ul><li>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. </li></ul><ul><li>Strong analytical toolkit-comfortable with A/B testing, funnel analysis, time series, and behavioral modeling. </li></ul><ul><li>Proven ability to translate data into actionable product insights. </li></ul><ul><li>Experience building dashboards in Tableau, Looker, or a similar visualization tool. </li></ul><ul><li>Strong communication skills-able to synthesize complex findings into clear, actionable recommendations. </li></ul><ul><li>Collaborative and proactive; comfortable working with Product, Engineering, and Learning teams. </li></ul><ul><li>User-centric mindset-curious about how design and data together shape learner outcomes. </li></ul> Preferred Qualifications<ul><li>Experience analyzing engagement or learning data within an edtech, learning, or content platform. </li></ul><ul><li>Familiarity with UX research methods or human-centered design. </li></ul><ul><li>Knowledge of statistical experimentation, hypothesis testing, and causal inference. </li></ul><ul><li>Comfort with working in agile product environments. </li></ul><ul><li>Passion for learning analytics, learning science, or experience optimization. </li></ul> Target Base Salary: 150,000 Pay Transparency Range: 120,000 to 180,000 The base salary pay range fo

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Business Intelligence Analyst 1 Chegg, Inc.

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