Data Analyst for Educational Insights

3 weeks ago


London, Greater London, United Kingdom Society for Learning Analytics Research Full time

Job Title: Data Analyst for Educational Insights

Job Summary:

The Society for Learning Analytics Research is seeking a Data Analyst to provide educational analytics support across both faculties. As a Data Analyst, you will work closely with the faculty Education Insight and Evaluation Analysts to develop ways of working with data to meet the strategic aims of both faculties.

Key Responsibilities:

  • Investigate, interpret, validate, and clean data from digital learning platforms.
  • Support the integration of administrative datasets that are managed by academic departments, for use in learning analytics.
  • Develop data analyses and visualizations for edtech reporting, educational, evaluation, and research purposes.
  • Support the data engineering and modeling required.

Requirements:

  • Experience of managing data in a medium or large organization covering infrastructure, data warehousing/data repositories, software engineering, and business intelligence.
  • Experience of identifying and undertaking data analysis within a complex technological environment, extracting meaningful insights from the data.
  • Professional experience in research or a data analytics position in higher education and using related products and programming languages and file types (e.g. PowerBI, PySpark, Python, SQL, R, XML/XSD).
  • Knowledge of a broad range of current and emerging ICT technologies and business processes, delivery models, principles, and practice, including data security principles and options, entity relationship modeling, and dimensional modeling.
  • Strong written and effective verbal communication skills and a proven ability to analyze large datasets.
  • Report writing, project management, and time management skills, and the ability to perform proof of concept or prototyping exercise.

Further Information:

This is a full-time fixed-term appointment for 12 months. You will need to complete an online application for this post outlining how you meet the person specification. If shortlisted, you will be invited to carry out a learning analytics task; successful candidates will then be invited to an in-person interview.

Hybrid working may be considered for this role. Staff working in roles that are suitable for hybrid working will normally be expected to work 60% of their time onsite. The opportunity for hybrid working will be discussed at interview.


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