Learning Data Analyst

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Multiverse is the upskilling platform for AI and Tech adoption. We have partnered with 1,500+ companies to deliver a new kind of learning that’s transforming today’s workforce. Our upskilling apprenticeships are designed for people of any age and career stage to build critical AI, data, and tech skills. Our learners have driven $2bn+ ROI for their employers, using the skills they’ve learned to improve productivity and measurable performance. In June 2022, we announced a $220 million Series D funding round co‑led by StepStone Group, Lightspeed Venture Partners and General Catalyst. With a post‑money valuation of $1.7bn, the round makes us the UK’s first EdTech unicorn. With a strong operational footprint and 800+ employees, we have ambitious plans to continue scaling. We’re building a world where tech skills unlock people’s potential and output.

Join Multiverse and power our mission to equip the workforce to win in the AI era.

The Learning Data Analyst plays a critical role in evaluating and enhancing the health of our learning programs by balancing business key performance indicators (KPIs) such as retention and revenue goals with educational outcomes, including assessment reliability, validity, content quality and learner persona alignment. This role is essential for producing actionable reports and insights that drive improvements, both those that are owned by our learning portfolio and programme design owners, and those that will be driven by our AI tooling as this evolves. This role balances both reactive and proactive analysis, building and maintaining dashboards and/or other visual analysis to provide strategic insights that continuously improve the AI’s output.

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• Partner with key stakeholders across Learning to identify the key questions we need to answer on a regular basis 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 with 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.
  

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• 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 etc.).
  
• 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, anomalies, and to 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.
  

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• Data analysis and visualisation 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.
  
• Highly driven by 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 – we work in a fast paced environment and often are faced with novel challenges that no one’s solved before. Need to be comfortable navigating ambiguity and charting the path forward.
  

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• Time off – 27 days holiday, plus 5 additional days off: 1 life event day, 2 volunteer days and 2 company‑wide wellbeing days and 8 bank holidays per year.
  
• Health & Wellness – private medical insurance with Bupa, a medical cashback scheme, life insurance, gym membership & wellness resources through Gympass and access to Spill – all in one mental health support.
  
• Hybrid work offering – we collaborate in the office 3 days per week.
  
• Work‑from‑anywhere scheme – you'll have the opportunity to work from anywhere, up to 10 days per year.
  
• Team fun – weekly socials, company wide events and office snacks!
  

We’re an equal opportunities employer. And proud of it. 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, gender identity or expression, or veteran status. This will never change. Read our Equality, Diversity & Inclusion policy here.

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.