Learner Retention 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.

Job Summary

Reporting to the Senior Manager, Analytics & Insights, this role is central to understanding and improving learner retention across Multiverse. The individual will own the delivery of strategic analytics initiatives that uncover what drives learner retention, translating complex data into compelling narratives that inform business decisions. This role combines forward-looking strategic analysis with day-to-day OKR reporting, working closely with the Data Domain Lead to contribute to the D&I roadmap and stakeholders from across the business who own work streams relating to Learner Retention.

Key Responsibilities

Strategic Analytics

• Advance organisational understanding of learner retention drivers through deep-dive analysis and hypothesis testing

• Partner with the D&I team to develop forward-looking insights that define long term business success and priorities in relation to Learner Retention

• Translate data into compelling narratives that clearly articulate business impact and criticality to stakeholders

• Work with Data Scientists to generate and improve predictive models to identify at-risk learners before they disengage

• Partner with cross-functional teams to design and evaluate retention interventions

OKR Analytics & Reporting

• Own the delivery of in depth reporting requests for stakeholders that will contribute to delivery of work streams within retention-focused OKRs

• Deliver automated, self-service reporting that tracks progress against retention-focused OKRs, measuring their overall contribution to retention and QAR

• Develop and maintain dashboards that provide real-time visibility into retention metrics and trends

• Support continuous improvement efforts through ad hoc analysis and data exploration

Stakeholder Engagement

• Present findings and recommendations to senior leadership with clear, actionable insights

• Collaborate with the Data & Insights team to ensure data quality and alignment on methodology

• Work with operational teams to understand the learner journey and identify retention levers

Skills & Qualifications

• 4-5 years of professional work experience with significant time in analytical roles

• Advanced Excel/Google Sheets, SQL, Metabase or similar BI tools

• Comfort with modern data warehouse/BI stacks; ability to translate business questions into metrics and dashboards

• Proven track record in a data-centric organisation, ideally within education, SaaS, or customer success environments

• Ability to zoom out from day-to-day data to identify patterns, trends, and longer-term implications

• Proven experience in translating complex analysis into narratives that resonate with non-technical audiences; you understand that data without a story doesn't drive action

• Able and comfortable with challenging senior stakeholder assumptions using data-backed narratives

• You thrive with minimal direction and can take ambiguous problems from question to insight to recommendation

• Comfortable navigating ambiguity in a fast-paced, evolving environment; you can balance competing priorities across strategic and operational work

• Experience analysing retention, churn, or engagement metrics strongly preferred

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.

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 , our and 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.