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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

Chegg, Inc.

Business Intelligence Analyst 1

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

Broadbean

UNKNOWN

Collaborate with cross-functional teams (data scientists, software engineers, and product managers) to integrate AI capabilities into digital platforms and enterprise systems. We are seeking an Applied Artificial Intelligence (AI) Engineer to design, develop, and deploy AI-driven solutions that transform digital processes and enhance decision-making capabilities.

<h2>Job Summary:</h2>We are seeking an Applied Artificial Intelligence (AI) Engineer to design, develop, and deploy AI-driven solutions that transform digital processes and enhance decision-making capabilities. The ideal candidate combines strong AI/ML engineering expertise with practical application experience in real-world digital transformation scenarios.<hr/><h2>Key Responsibilities:</h2><ul><li>Design, develop, and implement AI/ML models and algorithms for business applications.</li><li>Apply AI techniques such as machine learning, deep learning, natural language processing (NLP), computer vision, and generative AI to solve practical problems.</li><li>Collaborate with cross-functional teams (data scientists, software engineers, and product managers) to integrate AI capabilities into digital platforms and enterprise systems.</li><li>Develop and optimize data pipelines, model training workflows, and deployment strategies using MLOps best practices.</li><li>Evaluate emerging AI technologies and frameworks for potential adoption in digital transformation projects.</li><li>Conduct performance analysis, fine-tuning, and model interpretability testing.</li><li>Document design and implementation details to ensure maintainability and compliance.</li><li>Work closely with cloud and DevOps teams to operationalize AI models at scale.</li></ul><hr/><h2>Technical Skills:</h2><ul><li>Languages: Python, Java, or C++</li><li>Frameworks/Libraries: TensorFlow, PyTorch, Keras, Scikit-learn, Hugging Face Transformers</li><li>MLOps Tools: MLflow, Kubeflow, AWS Sagemaker, Azure ML, or GCP Vertex AI</li><li>Data Handling: SQL, NoSQL, Spark, Pandas, NumPy</li><li>Cloud Platforms: AWS / Azure / Google Cloud (AI & Data Services)</li><li>Version Control: Git, GitHub/GitLab</li><li>Optional (nice-to-have): LangChain, LlamaIndex, RAG pipelines, Generative AI (LLMs, Diffusion Models)</li></ul><hr/><h2>Soft Skills:</h2><ul><li>Strong analytical and problem-solving abilities</li><li>Ability to translate business requirements into technical AI solutions</li><li>Excellent communication and collaboration skills</li><li>Passion for continuous learning and emerging AI technologies</li></ul>

Intelligence Jobs in Lexington Fayette, KY

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Intelligence Jobs in Lexington Fayette, KY

Business Intelligence Analyst 1 Chegg, Inc.

Artificial Intelligence (AI) Engineer Purple Drive

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