People Data & Analytics Specialist in London

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

Responsibilities

• 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

Qualifications

• 1–5 years experience working with data, analytics, or BI
• Preferably come from a tech, Saa S, 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’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
• 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)

Benefits

• 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

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.

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