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Business Intelligence Analyst 1

Chegg, Inc.

Carson City, Nevada(remote)

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JOB DETAILS
SKILLS
A/B Testing, Analysis Skills, Artificial Intelligence (AI), Business Analysis, Business Intelligence, Communication Skills, Continuous Improvement, Data Analysis, Data Management, Data Modeling, Data Visualization, Experiment Design, Instructional Design, Looker, Metrics, Problem Solving Skills, Process Modeling, Product Design, Product Engineering, Python Programming/Scripting Language, Quality Metrics, R Programming Language, Reporting Dashboards, SQL (Structured Query Language), Software as a Service (SaaS), Systems Analysis, Tableau, Team Player, User Interface/Experience (UI/UX), eCommerce
LOCATION
Carson City, Nevada
POSTED
6 days ago
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
  • 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.

What You Bring

Basic Qualifications
  • 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.

Preferred Qualifications
  • 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.

Target Base Salary: 150,000

Pay Transparency Range: 120,000 to 180,000

The base salary pay range fo

About the Company

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Chegg, Inc.