About Coursera
Coursera was launched in 2012 by Andrew Ng and Daphne Koller with a mission to provide universal access to world-class learning. Today, it is one of the largest online learning platforms in the world, with 197 million registered learners as of December 31, 2025.
Coursera partners with over 375 leading university and industry partners to offer a broad catalog of content and credentials, including courses, Specializations, Professional Certificates, and degrees. Coursera’s platform innovations — including generative AI-powered features like Coach, Role Play, and Course Builder, and role-based solutions like Skills Tracks — enable instructors, partners, and companies to deliver scalable, personalized, and verified learning.
Institutions worldwide rely on Coursera to upskill and reskill their employees, students, and citizens in high-demand fields such as GenAI, data science, technology, and business, while learners globally turn to Coursera to master the skills they need to advance their careers. Coursera is a Delaware public benefit corporation and a B Corp
Why Join Us
At Coursera, we’re looking for inventors, innovators, and lifelong learners ready to shape the future of education. You’ll help build global programs and tools that power online learning for millions turning bold ideas into real impact. People who thrive here are customer-first builders who move fast, simplify ruthlessly, and iterate relentlessly on the metrics that matter.
We’re a globally distributed team and let you choose the best way you work, whether it's from home, a Coursera hub, or a co-working space near you. Our virtual hiring and onboarding make it easy to join us and start making an impact from anywhere. If you’re ready to make a global impact, scale unique products exclusive to Coursera, and expand your career horizons, apply below.
Job overview:
Coursera’s Content & Credentials org empowers learners, partners, and enterprise customers to achieve their goals. We improve the learning experience through innovative systems, scalable solutions, and close collaboration with partners and vendors to deliver high-quality content. As champions of the Coursera community, we align cross-functional teams to drive continuous improvement across the platform.
Within the Content & Credentials org, the Teaching & Learning team brings together learning design experts and researchers who provide best practices, training, and consulting for content development. We work closely with partners and content creators to design transformational learning experiences, using research, experimentation, and data insights to improve learner satisfaction, engagement, and outcomes.
About the Role:
The Learning Analyst is a full-time, India based remote position dedicated to enhancing partner success and fostering data-driven strategies for Coursera’s strategic accounts. In this role, you will be instrumental in creating high-impact, skill-aligned learning experiences that address learner needs and adapt to evolving market demands.
To achieve this, you will take a client-facing approach, collaborating with internal Coursera teams and external partners to analyze data patterns in their courses. You will directly perform data analysis and provide strategic recommendations for revisions, portfolio updates, and more, and present to clients. Your contributions will be vital in driving improvements in learning outcomes through actionable data insights.
With a strong foundation in data analysis and reporting, you will be playing a crucial role in analyzing educational offerings and improving our partner’s learning outcomes through actionable data insights.
Responsibilities:
- Data Visualizations: Support the creation of data visualizations and reports that succinctly communicate findings.
- Data Analysis and Reporting: Assist in collecting, analyzing, and interpreting datasets related to student engagement and learning outcomes.Collaboration: Work closely with the Learning Analytics Lead and learning designers to apply data insights to curriculum design and instructional methodologies.
- Collaboration: Participate in cross-functional teams to develop adaptive learning and assessment tools. Consult with partners on findings and recommendations; conduct webinars with clients to explain results.
- Learning Analytics Application: Contribute to the development of predictive models to improve student learning experiences.
- Learning Analytics Application: Help ensure the reliability and validity of learning analytics efforts through sound research methodologies.
Qualifications:
- 3+ years of relevant experience in a data analytics role that focuses on human behavior and presenting to non-technical audiences, preferably within an online education environment.
- 2+ years experience in using SQL or Python for data querying and cleaning in a Databricks, Snowflake or similar environment
- Proficiency in statistical software (e.g., R, SAS, SPSS, or similar).
- 2+ years experience with data visualization tools (e.g., Tableau, Power BI), preferably with LMS data integration.
- A Bachelor’s or Master’s degree in a field that focuses on data analytics to understand human behavior.
- Strong communication abilities and proficient in leading discussions and presentations with clients and stakeholders.
Nice to haves:
- A basic understanding of assessment/psychometrics.
- A degree in Data Science, Educational Psychology, Learning Analytics, or a related field.
- Experience with Python for statistical modeling.
Using Databases with Python
The Nuts and Bolts of Machine Learning
Reinforcement Learning
#LI-MJ1
Coursera is an Equal Opportunity Employer committed to building a welcoming and inclusive workplace. We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request at [email protected]. Learn more in our CCPA Applicant Notice and GDPR Recruitment Notice.
To protect against recruitment fraud, please note that Coursera recruiters will only communicate with candidates using official coursera.org email addresses. We do not conduct interviews or negotiate offers via personal or non-coursera.org accounts.
