Designation: Assessment Design & Learning Analytics Specialist
Location : Ludhiana (work from office)
Experience: 3 to 5 years
About the Role
We are looking for an Assessment Design & Learning Analytics Specialist to join our Academic Research and Data Science Team.
This role is ideal for someone who understands how tests, learning outcomes, rubrics, performance levels and learner reports are designed, and can also interpret academic data to generate meaningful insights for students, teachers, batches and institutes.
The role sits at the intersection of assessment design, educational research, learning analytics, academic product design and test-preparation intelligence. It is not a pure content-writing role and not a pure data-science coding role. It requires strong academic judgement, comfort with data, and the ability to translate assessment and learning data into clear reports, dashboards and recommendations.
Key Responsibilities
- Create and refine test blueprints, assessment specifications and academic/curriculum blueprints.
- Design scoring rubrics, performance-level descriptors and readiness frameworks.
- Define skill, subskill and learning-outcome taxonomies for tests, questions and learning products.
- Work on item tagging, learning-gap identification, diagnostic indicators and readiness indicators.
- Analyse learner performance, batch performance, item performance and test performance.
- Define academic metrics for student, teacher, batch, centre and institute-level reporting.
- Prepare specifications for dashboards, academic interfaces and performance reports.
- Convert assessment and learning data into clear interpretations and actionable recommendations.
- Support academic product evaluation through data-backed reports and insights.
- Work with academic, product, data and technology teams to improve assessment quality and learner outcomes.
Who We Are Looking For
We are looking for candidates with 3 to 7 years of experience in one or more of the following areas:
- Assessment design
- Test development
- Examination or test-preparation organisations
- Educational research
- Learning analytics
- Educational statistics
- Psychometrics
- EdTech academic product development
- Curriculum and learning-outcome design
- Academic reporting and performance analysis
Required Skills
- Strong understanding of assessment design, test structure, rubrics and learning outcomes.
- Ability to interpret learner data and identify performance patterns.
- Comfort with academic analytics, reporting frameworks and performance metrics.
- Strong written communication and documentation skills.
- Ability to create clear academic specifications for product and technology teams.
- Good working knowledge of Excel, Google Sheets or similar tools.
- Basic understanding of statistics, item analysis or learning analytics will be an advantage.
- Strong English-language proficiency.
Preferred Background
Candidates may come from any of the following backgrounds:
- EdTech companies
- Test-preparation companies
- Examination bodies or assessment organisations
- Educational research teams
- Universities or academic research projects
- Curriculum design teams
- Learning analytics or academic product teams
- Educational measurement or psychometrics teams
Education
Any one of the following would be suitable:
- M.Ed., M.A. Education or Ph.D. in Education, preferably with exposure to educational measurement, assessment, research methodology, learning analytics or educational technology.
- Postgraduate degree in Education, English, Applied Linguistics, Psychology or a related field, with experience in assessment design, test development, quantitative research or learning analytics.
- B.Tech., M.Tech. or another strong quantitative degree, combined with excellent English-language proficiency and relevant experience in EdTech, academic content development, assessment products, educational data analysis or learning-platform design.
Good Fit If You
- Can think like an assessment expert and also read data meaningfully.
- Enjoy building rubrics, frameworks, taxonomies and academic logic.
- Can explain why a learner is weak, what the data shows, and what should be recommended next.
- Can work with academic teams as well as product and technology teams.
- Are interested in building scalable assessment and learning-intelligence systems.
Not a Good Fit If You Are Looking For
- A pure teaching role.
- A pure content-writing role.
- A pure software development or data-engineering role.
- A generic operations role without academic or analytical depth.
Work Location: In person
