Senior Reward and People Analytics Specialist

Multiverse; City Of London; Hybrid; GBP 45,000 - 65,000; Full time

Job summary

A leading upskilling platform in the UK seeks a Compensation and People Analytics professional to drive insights from data, enhancing reward programs and frameworks. Candidates should have 3-5 years of experience in Compensation roles, strong analytical abilities, and a collaborative spirit. This position offers various benefits including private health insurance, a hybrid work model, and ample holiday allowance.

Benefits

27 days holiday plus additional leave

Private medical insurance

Gym membership

Flexible working options

Team events and socials

Qualifications

• 3-5 years in Compensation or Reward roles in a tech environment.
• Ability to turn complex data into actionable insights.
• Strong focus on detail and accuracy.
• Effective communication skills to convey data clearly.
• Work effectively in cross-functional teams.

Responsibilities

• Build and evolve global compensation frameworks.
• Deliver core compensation processes like salary reviews.
• Design and enhance reward programs based on data analysis.
• Act as a trusted advisor for compensation-related queries.
• Conduct analytics on employee lifecycle trends.

Skills

Analytical Skills

Attention to Detail

Communication

Collaboration

Proactive Mindset

Tools

Excel

Google Sheets

Power BI

SQL

Job description

Multiverse is the upskilling platform for AI and Tech adoption.

We have partnered with 1500 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.

Our Mission

At Multiverse we’re a tech company with a mission: we’re building an outstanding alternative to university and corporate training to develop a diverse group of future leaders. We’ve raised a $220m Series D to scale our impact and we’re now training over 8000 professional apprentices in the skills of the future. Our work is changing lives by democratising access to great careers.

The Opportunity

The Reward and People Analytics team is the nerve centre for data‑driven insights at Multiverse. We ensure we not only attract and retain top talent through compelling reward programs but also understand the entire employee lifecycle through robust analytics. Our work provides the critical data that empowers our leaders to make smarter, more empathetic decisions about our people.

What You’ll Do & The Impact You’ll Make

In this dual‑focus role you will be empowered to:

In Reward

Own Our Compensation Foundations: You will build and evolve our global compensation frameworks including job architecture levelling guides and salary ranges. Your work will ensure we remain competitive in the market and equitable internally.

Facilitate Compensation Cycles: You will play a pivotal role in the successful delivery of our core compensation processes including annual and mid‑year salary reviews, bonus payouts and equity grants. This involves everything from budget modelling and data analysis to flawless execution.

Design and Innovate Reward Programs: Move beyond the day‑to‑day by contributing to the design and implementation of our variable pay plans. You will analyse the effectiveness of our current bonus Go‑To‑Market (GTM) compensation and equity plans recommending data‑driven enhancements.

Act as a Trusted Advisor: You’ll be the go‑to expert for the People & Talent team and business leaders on all things related to reward. You will provide expert guidance on new hire offers, promotions and complex compensation queries empowering them with the right data and insights.

Enhance Our Total Rewards Offering: Contribute to our holistic benefits strategy by benchmarking our offerings ensuring compliance and governance and recommending improvements to support our teams wellbeing.

Partner in Strategic People Projects: Bring your critical reward expertise to cross‑functional initiatives whether it’s implementing a new compensation module in our HRIS or providing labour cost analysis for organisational design changes.

In People Analytics

Unlock Insights from People Data: Dive into our data to analyse key trends across the employee lifecycle including hiring, engagement, performance, diversity & inclusion and attrition providing actionable insights to the business.

Develop and Maintain People Dashboards: Design build and manage dashboards and reports in our HRIS systems to provide leaders with self‑service access to key people metrics.

Support Data‑Driven Storytelling: Partner with the wider People & Talent team to provide the data and analysis needed to support strategic initiatives measure their impact and build business cases.

Champion Data Integrity: Act as a guardian for our people data ensuring accuracy and consistency across our systems (e.g. our HRIS) to build a reliable foundation for all analytics.

What We’re Looking For

We’re excited to speak with candidates who have:

Proven Experience: 3–5 years of dedicated experience in a Compensation or Reward role ideally within a fast‑paced scaling technology environment.

Exceptional Analytical & Quantitative Skills: A passion for turning complex datasets into clear actionable insights. Advanced proficiency in Excel or Google Sheets is essential.

Meticulous Attention to Detail: A commitment to quality and accuracy and an understanding of how small details have a big impact on people and the business.

Clear Concise Communication: The ability to simplify complex data and concepts presenting them in a clear and compelling way to stakeholders at all levels.

A Collaborative Spirit: You thrive on working with cross‑functional partners in the People team, Finance and across the wider business to achieve shared goals.

A Proactive & Curious Mindset: You’re not content with just the what. You constantly seek to understand the why behind the data and stay ahead of market trends to help Multiverse maintain its competitive edge.

Benefits

Time off – 27 days holiday plus 7 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!

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.

Right to Work

Do you have the right to work in the UK? Unfortunately at this time we cannot offer sponsorship for this role and we cannot consider overseas applications.

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

Adobe Analytics, Data Analytics, SQL, Attribution Modeling, Power BI, R, Regression Analysis, Data Visualization, Tableau, Data Mining, SAS, Analytics

Employment Type

Full‑Time

Experience

years

Vacancy

1