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Learning Analytics Lead

Coursera
United States of AmericaFull Time152k - 170k USD / YEAR14d

Job Summary

Coursera is seeking a Learning Analytics Lead to drive data-driven strategies and improve learning outcomes. This role involves developing analytics strategies, analyzing student data, applying statistical models, designing adaptive tools, collaborating with faculty, and communicating insights to stakeholders.

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.  

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