
Business Intelligence Analyst 1
Chegg Inc. · United States
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- Hybrid
- Full-time
- $150,000 / year
- United States
Job highlights
- Analyze learner product experience and identify improvements.
- Create key metrics for learning quality and proficiency.
- Develop dashboards for learner progress and satisfaction.
- Design and analyze experiments for product features.
- Translate data into actionable product insights.
About the role
About Chegg Skills
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.
Compensation & Benefits
Target Base Salary: 150,000
Pay Transparency Range: 120,000 to 180,000
The base salary pay range for this position is $120,000 to $180,000. Although this range represents the full range for the position, the actual pay will vary within this range based on geographic location, job type, professional experience, and other factors.
In addition, Chegg offers a comprehensive benefits plan for eligible employees, including medical, dental, vision, life and supplemental life insurance, short- and long-term disability, mental health support, parental leave, paid time off, paid holidays, 401(k) with matching contributions, Flexible Spending Account (FSA) and Health Savings Account (H.S.A.) options, an Employee Stock Purchase Plan, and other benefits found at: https://www.chegg.com/about/working-at-chegg/benefits/.
Why do we exist?
Students are working harder than ever before to stabilize their future. Our recent research study called State of the Student shows that nearly 3 out of 4 students are working to support themselves through college and 1 in 3 students feel pressure to spend more than they can afford. We founded our business on provided affordable textbook rental options to address these issues. Since then, we’ve expanded our offerings to supplement many facets of higher educational learning through Chegg Study, Chegg Math, Chegg Writing, Chegg Internships, Chegg Skills, and more to support students beyond their college experience. These offerings lower financial concerns for students by modernizing their learning experience. We exist so students everywhere have a smarter, faster, more affordable way to student.
Key skills/competency
- Product Analysis
- Business Analytics
- SQL
- Python
- R
- A/B Testing
- Data Visualization
- Dashboarding
- User Experience
- Learning Analytics
Skills & topics
- Senior Product Analyst
- Product Analytics
- Business Analytics
- Data Analysis
- SQL
- Python
- R
- A/B Testing
- Data Visualization
- Dashboarding
- SaaS
- Education Technology
- EdTech
- Learning Analytics
- User Experience
- Data Storytelling
- Experimentation
- Remote
- US
How to get hired
- Customize your resume: Highlight 3-6 years of product/business analytics experience, focusing on B2C, SaaS, or education.
- Showcase technical skills: Emphasize advanced SQL, Python/R proficiency, and experience with A/B testing and data visualization tools.
- Prepare for interviews: Be ready to discuss how you translate data into actionable insights and your experience with collaborative, user-centric projects.
- Understand Chegg's mission: Articulate how your skills can help students learn more affordably and effectively.
Technical preparation
Behavioral questions
Frequently asked questions
- What are the key responsibilities for a Senior Product Analyst at Chegg Skills?
- As a Senior Product Analyst at Chegg Skills, you will analyze learner product experiences, create metrics for learning quality, develop dashboards, design and analyze experiments, and translate data into actionable product insights. You'll collaborate closely with Product Managers, Learning Scientists, and Engineers to shape the student experience.
- What qualifications are essential for the Senior Product Analyst role at Chegg?
- Essential qualifications include 3-6 years of experience in product or business analytics (ideally in B2C, SaaS, or education), advanced SQL skills, and fluency in Python or R. You should also have experience with A/B testing, funnel analysis, behavioral modeling, and building dashboards in tools like Tableau or Looker.
- How does Chegg Inc. support employee growth and development?
- Chegg offers a comprehensive benefits plan, including medical, dental, vision, 401(k) with matching, and an Employee Stock Purchase Plan. While specific development programs aren't detailed, the company culture emphasizes data-driven decision-making and user-centricity, suggesting opportunities to grow by contributing to impactful product improvements.
- What is the typical salary range for a Senior Product Analyst at Chegg?
- The target base salary for this position is $150,000, with a pay transparency range of $120,000 to $180,000 annually. The actual pay will vary based on factors such as geographic location, job type, and professional experience.
- Is this Senior Product Analyst role remote or on-site at Chegg?
- This Senior Product Analyst position is a remote role, specifically for candidates located within the U.S.
- What kind of impact can a Senior Product Analyst have at Chegg Skills?
- A Senior Product Analyst at Chegg Skills can significantly impact the student learning journey by identifying areas for improvement, defining key metrics for success, and directly influencing product design and roadmap priorities through data-driven insights.