Data Analyst
JOB_53413894722016Job type
ContractLocation
ReadingWorking Pattern
Full-timeSpecialism
Data & Advanced AnalyticsIndustry
TelecomsPay
Up to 260 per day
Data Analyst | Reading | Hybrid (3 days in office) | 260/day
The Role:
You’ll be supporting a workforce location strategy project, analysing data, cleansing records in Oracle, and help understand the real-world impact of location changes on people and the costs. This role needs someone who’s confident in Excel, comfortable working with large datasets, and has a decent grasp of UK geography.
You’ll be supporting a workforce location strategy project, analysing data, cleansing records in Oracle, and help understand the real-world impact of location changes on people and the costs. This role needs someone who’s confident in Excel, comfortable working with large datasets, and has a decent grasp of UK geography.
What You’ll Be Doing:
- Cleansing and classifying employee data (home/field/office) in Oracle
- Spotting mismatches between contracted and nearest office locations
- Supporting cost modelling for travel/mileage
- Working with HR, Finance, and other teams to align on policy
- Analysing home-to-office mileage and cost impacts
- Presenting clear, actionable insights to support decisions
What You’ll Need:
- Strong Excel skills (formulas, lookups, pivot tables – the works)
- Experience handling and interpreting large datasets
- A methodical, detail-focused approach
- Good communication and collaboration skills
- No HR experience needed, just a willingness to learn
Nice to Have:
- Experience with workforce/location data
- Familiarity with organisational change or workforce planning
#LI-DNI
Data AnalystJOB_534138947220162025-09-052025-12-04
Talk to Matthew Broughton, the specialist consultant managing this position
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JOB_53413894722016