Programme Health Analyst

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.

But we aren’t stopping there. 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.

OVERVIEW

The Programme Health Analyst supports the evaluation and enhancement of our learning programs by balancing business key performance indicators (KPIs) like retention and revenue with educational outcomes, such as assessment reliability and content quality. This role is responsible for producing actionable reports and data-driven insights that inform improvements owned by our learning portfolio and program design teams. You will balance both reactive and proactive analysis, maintaining dashboards and visual tools to provide the operational insights necessary to refine the outputs of our AI tooling.

WHAT YOU’LL DO

Data Preparation

• Gather requirements from key stakeholders across Learning to identify core questions and utilise the appropriate data sources for ongoing analysis of our learning programs.

• Support the business with bespoke reporting and data preparation for regulatory inspections (e.g., Ofsted) or custom client requests.

• Utilize central Data and Insights self-serve capabilities to create visualisations that promote a data-driven culture within the learning team.

• Use approved AI and analytical tooling to generate data views in Count and Metabase, running SQL queries to extract and analyze relevant data points from our data warehouse.

Program Health Analysis

• Conduct regular analysis on program health to report on current state against key metrics (e.g., retention, attainment, and achievement).

• Perform reliability and validity analysis to provide recommendations to assessment design owners for data-backed improvements.

• Support grading reliability analysis of assessments (AI and human-led) to monitor consistency and ensure unbiased performance across subgroups.

• Use data to identify trends and anomalies, providing program owners with the evidence needed to improve metrics and build business cases for new initiatives.

• Create clear data visualisations to feed insights into leadership forums, enabling informed decision-making regarding apprenticeship regulatory thresholds.

• Prepare and provide structured data sets to the AI Learning Solutions Team to assist in the refinement of AI agent content and customisation.

WHAT YOU’LL BRING

• Technical Proficiency: Proven data analysis and visualization skills using tools such as Excel, PowerBI/Tableau, SQL, Python, or Looker.

• Domain Knowledge: Experience or strong foundational knowledge in curriculum and assessment evaluation processes.

• Contextual Experience: Familiarity with learner and customer experience metrics, ideally within a B2B environment.

• Precision: A high degree of attention to detail and data integrity.

• Curiosity: A strong interest in how data applications can improve the efficacy of AI in learning design.

• Adaptability: Comfort working in a fast-paced environment; the ability to remain effective when faced with new challenges and to adapt as team processes evolve

Benefits

• Time off - 27 days holiday, plus 5 additional days off: 1 life event day, 2 volunteer days, 2 company-wide wellbeing days (M-Powered Weekend) and 8 bank holidays per year

• Health & Wellness- private medical Insurance with Bupa, a medical cashback scheme, life insurance, gym membership & wellness resources through Wellhub and access to Spill - all in one mental health support

• Hybrid work offering - for most roles we collaborate in the office three days per week with the exception of Coaches and Instructors who collaborate in the office once a month

• Work-from-anywhere scheme - you'll have the opportunity to work from anywhere, up to 10 days per year

• Space to connect: Beyond the desk, we make time for weekly catch-ups, seasonal celebrations, and have a kitchen that’s always stocked!

Our Commitment to Diversity, Equity and Inclusion

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 https://www.multiverse.io/en-GB/our-policies/equality-diversity-and-inclusion-policy.

Our Commitment to Safeguarding

Multiverse is committed to safeguarding and promoting the welfare of our learners. We expect all employees to share this commitment and adhere to our Safeguarding Policy https://cdn.sanity.io/files/6y1mknvo/prod-20240319/50283d0600920c5f1e02cf44e54c0f1534c74e61.pdf, our Prevent Policy https://cdn.sanity.io/files/6y1mknvo/prod-20240319/35a5defca7346bb1c212250867754b0a7ae5b478.pdfand all other Multiverse company policies. Successful applicants will be required to undertake at least a Basic check via the Disclosure Barring Service (DBS).

For roles that will involve a Regulated Activity, successful applicants must also undergo an Enhanced DBS check, including a Children’s Barred List check and a Prohibition Order check. Roles involving Regulated Activity may interact with vulnerable groups, therefore are exempt from the Rehabilitation of Offenders Act 1974 meaning applicants are required to declare any convictions, cautions, reprimands, and final warnings.

Providing false information is an offence and could result in the application being rejected or summary dismissal if the applicant has been selected, and possible referral to the police and the DBS.