New

Learning Analytics Lead

United States

Coursera was launched in 2012 by two Stanford Computer Science professors, Andrew Ng and Daphne Koller, with a mission to provide universal access to world-class learning. It is now one of the largest online learning platforms in the world, with 162 million registered learners as of September 30, 2024.

Coursera partners with over 350 leading university and industry partners to offer a broad catalog of content and credentials, including courses, Specializations, Professional Certificates, Guided Projects, and bachelor’s and master’s degrees. Institutions around the world use Coursera to upskill and reskill their employees, citizens, and students in fields such as data science, technology, and business. Coursera became a B Corp in February 2021.

Join us in our mission to create a world where anyone, anywhere can transform their life through access to education. We're seeking talented individuals who share our passion and drive to revolutionize the way the world learns.

We at Coursera are committed to building a globally diverse team and are thrilled to extend employment opportunities to individuals in any country where we have a legal entity. We require candidates to possess eligible working rights and have a compatible timezone overlap with their team to facilitate seamless collaboration. 

Coursera has a commitment to enabling flexibility and workspace choices for employees. Our interviews and onboarding are entirely virtual, providing a smooth and efficient experience for our candidates. As an employee, we enable you to select your main way of working, whether it's from home, one of our offices or hubs, or a co-working space near you.

Job Overview

Coursera is seeking an innovative and experienced Learning Analytics Lead to drive our data-driven strategies, enhance our educational offerings and improve learning outcomes. This senior-level position will bridge the gap between data science and educational practice, with a focus on leveraging learning analytics to benefit our online courses, certificates, and degree programs.

 

Responsibilities

  • Lead the development and implementation of Coursera’s learning analytics strategy ensuring alignment with business goals and priorities
  • Drive the use of data and analytics to support continuous improvement efforts in teaching and learning
  • Oversee the collection, analysis, and interpretation of large and complex datasets related to student learning and educational outcomes
  • Develop and apply statistical models to predict student performance, identify learning patterns, and create personalized learning pathways
  • Utilize learning analytics to provide insights into student engagement, learning progress, and course effectiveness
  • Design and implement adaptive learning and assessment tools to support individualized learning experiences
  • Integrate psychometric practices into data analysis to ensure the reliability and validity of assessments and learning measurements
  • Conduct and oversee psychometric analysis of assessment tools to drive the design of effective educational interventions
  • Collaborate with faculty and instructional designers to translate analytics into actionable strategies that enhance curriculum design and instructional delivery
  • Provide consultation and training to staff on the application of learning analytics in their work
  • Generate comprehensive reports and visualizations to communicate findings to stakeholders, including senior leadership, faculty, and external partners
  • Present insights and recommendations at institutional meetings, conferences, and workshops

 

Basic Qualifications

  • PhD or equivalent experience in Data Science, Educational Psychology, Learning Analytics, Psychometrics, Statistics, or related field
  • Minimum of 7-10 years of experience in data science or learning analytics, with a strong emphasis on online education
  • Proven experience with psychometrics or psychometric data, adaptive learning, and adaptive assessments
  • Proficiency in statistical software (e.g., R, SAS, SPSS) and data visualization tools (e.g., Tableau, Power BI)
  • Experience with learning management systems (LMS) and data integration from various educational technologies
  • Strong understanding of machine learning techniques and their application in educational contexts
  • Excellent leadership, project management, and organizational skills
  • Strong communication abilities, with the capability to translate complex data findings into actionable insights for a diverse audience

 

Preferred Qualifications

  • Knowledge of current trends and research in learning analytics, edtech, and online education
  • Commitment to diversity, equity, and inclusion in education

 

If this opportunity interests you, you might like these courses on Coursera:

Machine Learning with Python

Google Advanced Data Analytics Professional Certificate

Data Science Foundations: Statistical Inference Specialization

 

Compensation

Coursera offers competitive pay and equitable compensation practices. Our job titles may span more than one career level. The targeted hiring base salary range for this role is between $151,800 to $170,000 . The actual base pay is dependent upon many factors, including but not limited to: prior work experiences, training/education, transferable skills, business needs, and geographical location. The base pay range is subject to change and may be modified in the future. This role may also be eligible for variable pay, equity, and benefits.  

#LI-JC2

 

Coursera is an Equal Employment Opportunity Employer and considers all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, age, marital status, national origin, protected veteran status, disability, or any other legally protected class.
 
If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process, please contact us at accommodations@coursera.org.
 
For California Candidates, please review our CCPA Applicant Notice here.
For our Global Candidates, please review our GDPR Recruitment Notice here.
 
#LI-Remote

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