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Updated 2026-06-10 01:00 UTC·© 2025–2026 RoleSuite
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People Data & Analytics Specialist

Kraken · London / Manchester

 
Help us use technology to make a big green dent in the universe!
 
Kraken powers some of the most innovative global developments in energy.
 
We’re a technology company focused on creating a smart, sustainable energy system. From optimising renewable generation, creating a more intelligent grid and enabling utilities to provide excellent customer experiences, our operating system for energy is transforming the industry around the world in a way that benefits everyone.
 
It’s a really exciting time in energy. Help us make a real impact on shaping a better, more sustainable future.

Why this role exists

Right now, our people data setup is… let’s say early stage.

We operate across ~20 countries, but:

  • data sits in different places

  • reporting is mostly manual

  • definitions aren’t always consistent

  • dashboards are limited

  • and we’re not getting the insights we should be

At the same time, the business is growing fast and expects proper, data-backed decisions — especially around hiring, retention, compensation, and benefits.

This role exists to help us go from reactive spreadsheets → actual people insights.

What you'll do:

1. Get control of the data

  • Map out what people data we have (and where it lives)

  • Clean it up, structure it, and make it usable

  • Coordinate across functions to maintain data quality maintenance 

  • Help define consistent metrics (headcount, attrition, hiring, etc.)

  • Work with People Ops, Finance, and systems owners to fix gaps

  • 2. Build reporting we can trust

  • Move us away from one-off reports and manual pulls 

  • Create repeatable, reliable reporting

  • Own core dashboards (headcount, attrition, hiring, diversity, etc.)

  • Make sure numbers actually reconcile across teams

  • Upskill the team on basic reporting and use of tools

  • 3. Create dashboards people will actually use

  • Build simple, clear dashboards for:

  • People team

  • Leadership

  • Focus on insight, not just data dumps

  • Use modern tools (BI platforms, not just spreadsheets)

  • 4. Support compensation & benefits analytics

  • Partner closely with C&B on:

  • Gather all the benefit data from various sources and systems

  • benefits usage and cost analysis

  • pay analysis

  • 5. Help us get more AI/data-savvy

  • Bring ideas on how we can use AI/tools to:

  • automate reporting

  • surface insights faster

  • reduce manual work

  • We’re not looking for hype - just practical improvements that work

  • 6. Improve how our systems talk to each other

  • Work across HRIS, ATS, payroll, and other tools

  • Help improve data flows and integrations (with support from tech where needed)

  • Be the person who actually understands how people data connects end-to-end

  • What you'll have:

  • 1–5 years experience working with data, analytics, or BI

  • Preferably come from a tech, SaaS, or product-led environment 

  • Built dashboards and reporting in a real business setting

  • Strong google sheets and excel user

  • Essential to be comfortable with SQL and know the basics of python or dbt modelling

  • Are comfortable working in messy or evolving data environments

  • 👉 You don’t need to come from HR or People Analytics - we’re happy with candidates from broader data/analytics backgrounds who are interested in applying those skills to people data.

     You’re good at:

  • Turning unclear questions into structured analysis
  • Explaining data in a way non-data people understand

  • Spotting inconsistencies and fixing them

  • Balancing detail with speed (not over-engineering everything)
  • Bonus if you:

  • Have exposure to people/HR data, compensation, or workforce analytics
  • Have worked with multiple systems and data sources
  • What this role is (and isn’t)

    This is:

  • a hands-on builder role

  • a chance to shape people data from the ground up

  • high ownership, high visibility

  • This isn’t:

  • a pure reporting role
  • a perfectly set-up data environment

  • a big team (you’ll be the go-to person for this)

  • What success looks like (first 12 months)

  • We have trusted, consistent people metrics

  • Core dashboards are in place and actually used

  • Manual reporting is significantly reduced, and colleagues can self serve

  • People & reward decisions are backed by data

  • Leaders can answer basic people questions without asking 3 different teams

  • Apply →

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