Learning Data Analyst

Multiverse; Greater London; Hybrid; GBP 45,000 - 60,000; Full time

Job summary

A leading education technology firm is seeking a Learning Data Analyst in Greater London to enhance their learning programs through data analysis and actionable insights. This role involves preparing data, conducting health analyses of programs, and creating visualizations for leadership decision-making. The ideal candidate will possess strong data skills including SQL and Power BI, and will thrive in a hybrid work environment balancing remote and in-office collaboration.

Benefits

27 days holiday plus 5 additional days off

Private medical insurance

Gym membership

Work-from-anywhere option for up to 10 days per year

Weekly socials and company events

Qualifications

• Experience in curriculum and assessment design and evaluation processes.
• Experience with analysis of learner and customer experience metrics in a B2B sales environment.
• Motivation and interest in where data can improve the efficacy of AI use in learning design and assessment.

Responsibilities

• Conduct regular analysis on the health of our programmes.
• Create compelling data visualisations to feed insights into key leadership.
• Use approved AI and other tooling to create bespoke data views.

Skills

Data Analytics

Microsoft Access

SQL

Power BI

Data Visualization

Tableau

Data Management

Data Mining

Data Analysis Skills

Analytics

Job description

Overview

The Learning Data Analyst plays a critical role in evaluating and enhancing the health of our learning programs by balancing business KPIs (retention and revenue goals) with educational outcomes including assessment reliability, validity, content quality, and learner persona alignment. This role produces actionable reports and insights that drive improvements for our learning portfolio and programme design owners, and those driven by AI tooling as it evolves. It balances reactive and proactive analysis, builds and maintains dashboards and other visual analyses to provide strategic insights that continuously improve the AI output.

What youll do

Data Preparation

Partner with key stakeholders across Learning to identify the key questions we need to answer regularly and identify the right data to support ongoing analysis and action against our suite of learning programmes.

Partner with key stakeholders across the business to support bespoke reporting preparation including data preparation for regulator inspections (eg. Ofsted) or client custom requests.

Partner with our central Data and Insights team to utilise our self-serve data capabilities to create analysis and visualisations that drive a data-driven culture across learning.

Use approved AI and other tooling to create bespoke data views in Count and Metabase to run SQL queries and search for the most useful data points to analyse in our data warehouse.

Program Health Analysis

Conduct regular analysis on the health of our programmes (including their variations) to determine current state against key metrics (e.g. retention, attainment, satisfaction, achievement in End Point Assessments).

Conduct reliability and validity analysis to ensure accuracy and consistency of assessment design and work with the owner of assessment design to make actionable decisions on improvements.

Conduct grading reliability analysis of assessments (AI and human led) to ensure consistency and unbiased performance across subgroups in relation to any regulatory/governance systems; improve technology-enabled systems such as AI grading.

Proactively use data to identify trends and anomalies and support programme owners to make actionable decisions to improve existing programme metrics and create business cases for new programmes.

Create compelling data visualisations to feed insights into key leadership, governance and decision-making forums and enable leaders to make informed decisions, particularly around apprenticeship regulatory thresholds.

Collaborate with the AI Learning Solutions Team to feed structured data sets and insights into AI agents, enhancing their capability to make informed content and customisation decisions.

What youll bring

Data skills in tools such as Excel, PowerBI / Tableau, SQL, Python and Looker.

Experience in curriculum and assessment design and evaluation processes.

Experience with analysis of learner and customer experience metrics in a B2B sales environment.

Attention to detail

Motivation and interest in where data can improve the efficacy of AI use in learning design and assessment.

Comfortable with the unknown—fast-paced environment with novel challenges; navigate ambiguity and chart the path forward.

Benefits

Time off: 27 days holiday plus 5 additional days off (life event day, volunteer days, wellbeing days) and 8 bank holidays per year.

Health & Wellness: Private medical insurance with Bupa, medical cashback, life insurance, gym membership and wellness resources through Gympass, plus access to Spill for mental health support.

Hybrid work offering: collaborate in the office 3 days per week.

Work-from-anywhere: opportunity to work from anywhere up to 10 days per year.

Team fun: weekly socials, company-wide events and office snacks.

Our commitment to Diversity, Equity and Inclusion

We are an equal opportunities employer. Every applicant and employee is afforded the same opportunities regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or expression, or veteran status. This will never change. Read our Equality, Diversity & Inclusion policy here.

Safeguarding

All posts in Multiverse involve some degree of responsibility for safeguarding. Successful applicants are required to complete a Disclosure Form from the Disclosure and Barring Service (DBS) for the position. Failure to declare any convictions (that are not subject to DBS filtering) may disqualify a candidate for appointment or result in summary dismissal if the discrepancy comes to light subsequently.

Key Skills

Data Analytics, Microsoft Access, SQL, Power BI, R, Data Visualization, Tableau, Data Management, Data Mining, SAS, Data Analysis Skills, Analytics

Employment details

Employment Type: Full-Time

Experience: years

Vacancy: 1