People Data & Analytics Specialist
Resumo da vaga pela JobGrid
People Data & Analytics Specialist at kraken123: London, Reino Unido; Presencial; TI; Analytics. This listing is part of JobGrid's Empregos de data analyst em páginas de empresas. JobGrid adds normalized role facts, source context, and a path to the employer application page so candidates can compare the listing before applying.
- Location and workplace: London, Reino Unido, Presencial
- Role classification: TI, Analytics
- Source freshness: checked by JobGrid on 2026-06-10.
- Application path: candidates continue to the employer application page with non-personal referral tags.
Why this role exists
Right now, our people data setup is… let’s say early stage.
We operate across ~20 countries, but:
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data sits in different places
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reporting is mostly manual
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definitions aren’t always consistent
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dashboards are limited
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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:
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
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
Build simple, clear dashboards for:
People team
Leadership
Focus on insight, not just data dumps
Use modern tools (BI platforms, not just spreadsheets)
Partner closely with C&B on:
Gather all the benefit data from various sources and systems
benefits usage and cost analysis
pay analysis
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
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
- 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)
- 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)
a hands-on builder role
a chance to shape people data from the ground up
high ownership, high visibility
- 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