At a Glance
- Tasks: Analyse HR data and create insightful reports to support decision-making.
- Company: Join a dynamic HR team with a focus on data-driven strategies.
- Benefits: Flexible working hours, competitive pay, and mostly remote work.
- Other info: Opportunity for professional growth in a supportive environment.
- Why this job: Make an impact by turning data into actionable insights for HR.
- Qualifications: Strong Excel skills and a knack for interpreting data trends.
The predicted salary is between 20 - 20 £ per hour.
HR Data Analyst (Part-Time Contract) – Flexible (UK) – commutable to Preston or Portsmouth
6 months | 20 hours per week | £20 per hour PAYE | Inside IR35
Mostly remote (1–2 days in office per month)
The Role
We’re looking for a skilled HR Data Analyst to support our HR team with data reporting, analysis, and insights. You’ll work with multiple HR systems to produce clear, meaningful data that supports decision-making.
Key Responsibilities
- Analyse and report on HR data (e.g. headcount, attrition, absence)
- Build and maintain dashboards and reports
- Combine data from multiple systems into clear insights
- Identify trends and provide actionable recommendations
- Support HR teams with data-driven decision-making
- Improve data quality and reporting processes
About You
- Strong Excel and analytical skills (essential)
- Able to interpret data and explain trends clearly
- Experience in data analysis (HR experience beneficial but not required)
- Confident communicating insights to non-technical stakeholders
Additional Info
- Flexible working pattern (3 days or spread across 4–5 days)
- Occasional in-office meetings required
- BPSS clearance required
Data Analyst - Tableau, Power BI, SQL in Preston employer: Outsource UK
Join a dynamic and supportive team as a Data Analyst, where flexibility and work-life balance are prioritised. With a focus on employee growth, you will have the opportunity to enhance your analytical skills while contributing to meaningful HR insights. Enjoy a mostly remote working environment with occasional in-office collaboration, making this an ideal role for those seeking a rewarding career in data analysis.
