Business Intelligence Analyst 1

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