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Kraken

People Data & Analytics Specialist

London
Posted about 16 hours ago
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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

  • 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
  • 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
  • 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)
  • 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
  • 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

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

Start with a chat, not a search bar

Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.

P

Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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It searches the market for you

Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.

Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

See breakdown
Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

See breakdown
Strong

Only hits

No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.

  • 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

Kraken is a certified Great Place to Work in France, Germany, Spain, Japan, Australia, and USA. In the UK we are one of the Best Workplaces on Glassdoor with a score of 4.5, and in Germany we rate 4.7 on Kununu as a Top Company. Check out our Welcome to the Jungle site (FR/EN) to learn more about our teams and culture.

Are you ready for a career with us? We want to ensure you have all the tools and environment you need to unleash your potential. If you have any specific accommodations or a unique preference, please contact us at inclusion@kraken.tech and we'll do what we can to customise your interview process for comfort and maximum magic!

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Studies have shown that some groups of people, like women, are less likely to apply to a role unless they meet 100% of the job requirements. Whoever you are, if you like one of our jobs, we encourage you to apply as you might just be the candidate we hire. Across Kraken, we're looking for genuinely decent people who are honest and empathetic. Our people are our strongest asset and the unique skills and perspectives people bring to the team are the driving force of our success. As an equal opportunity employer, we do not discriminate on the basis of any protected attribute. We consider all applicants without regard to race, colour, religion, national origin, age, sex, gender identity or expression, sexual orientation, marital or veteran status, disability, or any other legally protected status.

Our (i) Applicant and Candidate Privacy Notice and Artificial Intelligence (AI) Notice, (ii) Website Privacy Notice and (iii) Cookie Notice govern the collection and use of your personal data in connection with your application and use of our website. These policies explain how we handle your data and outline your rights under applicable laws, including, but not limited to, the General Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA). Depending on your location, you may have the right to access, correct, or delete your information, object to processing, or withdraw consent. By applying, you acknowledge that you’ve read, understood and consent to these terms

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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Skills

Data Analysis
Business Intelligence
SQL
Python
Dashboarding
Reporting
Data Quality
Metrics Definition
Data Cleaning
Data Structuring
Collaboration
Compensation Analysis
Benefits Analysis
AI Tools
HRIS
ATS

Location

London, England, United Kingdom

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