National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

HR Data Analyst - 6 month contract

Mace
Birmingham
1 month ago
Applications closed

Related Jobs

View all jobs

HR Data Analyst

HR Data Analyst

HR Data Analyst

HR Data Analyst

HR Data Analyst

HR Data Analyst

At Mace, our purpose is to redefine the boundaries of ambition. We believe in creating places that are responsible, bringing transformative impact to our people, communities and societies across the globe. To learn more about our purpose, culture, and priorities, visit our

Within our consult business, we harness our unique combination of leading-edge practical expertise and project delivery consultancy to unlock the potential in every project. 


Our values shape the way we consult and define the people we want to join us on our journey, they are:

Safety first - Going home safe and well


Client focus - Deliver on our promise
Integrity - Always do the right thing
Create opportunity - For our people to excel

This is a6 month fixed term contractrole where you will support the production of accurate data information to generate business insights that helps to make informed and nuanced decisions. Ensures the accuracy and integrity of data, performs ad hoc and routine data audits. Identifies data gaps and quality issues, collaborates and partners with relevant stakeholders to rectify and resolve. 


You’ll be responsible for:

Analysing and interpreting HR data to support management decision-making and improve overall efficiency and performance.


Ensuring the accuracy and integrity of data, performs ad hoc routine data audits.
Partnering with HR stakeholders, responds to ad hoc requests for HR data and builds operational and management reports.
Collecting, compiling, and analysing HR data and metrics to support management decision-making.
Designing, developing, and maintaining HR reports and dashboards to track key HR metrics.
Conducting statistical analyses to understand relationships between various HR activities and organizational outcomes.
Identifying trends, patterns, and inconsistencies in HR data.
Collaborating with HR and management teams to understand data needs and provide solutions.
Conducting audits to ensure the accuracy and integrity of HR data.
Using data visualization tools to present HR data in a clear and concise manner.
Making recommendations to improve HR policies and procedures based on data findings.
Complying with data privacy and protection guidelines.
Providing data literacy training to HR teams (e.g. excel, PowerBI)
Creating process guides for building reports.
Maintaining data governance documents (e.g. report catalogues, data definitions).
Providing data to external stakeholders (e.g. ONS).

You’ll need to have:

Prior experience in a HR Data Analyst role.


Able to extract and manipulate data sets and analyse and present data that provides insight using story-telling and visual design techniques.
Strong verbal and written communication.
Able to work with and without integrated systems and extract and consolidate data from multiple sources.
Highly motivated self-starter, able to prioritise activities with minimal supervision. Creative and able to present rationale to others.
Advanced Excel skills including VLOOKUP, complex IF statements, array formulas, pivot tables and conditional formatting.
Self-motivated and able to work independently yet open and collaborative. 
Able to manage business expectations, prioritise work, communicate progress and deliver to promise.

You’ll also have:

Technology skills with business intelligence and data analytics tools. Specifically: Oracle BI Publisher, Microsoft Power BI, Excel.


Technology skills with enterprise software applications used in the HR Domain. Specifically: Oracle Fusion Cloud HCM including Oracle BI tools, Oracle Taleo.
Familiarity with the HR domains such as policies and processes, statutory and regulatory requirements etc.
Experienced and comfortable working at senior levels, managing changing priorities and ambiguity in a fast-paced environment.
Methodical and organised, able to anticipate, prioritise and overcome problems.
Delivers to agreed deadlines, effectively handles multiple demands and competing priorities.
Collaborates and networks, seen as trusted, genuine and credible.
Maintains a calm and considered approach in challenging situations
Takes pride in creating high-quality deliverables. Seeks to continuously improve processes.

Mace is an inclusive employer and welcomes interest from a diverse range of candidates. Even if you feel you do not fulfil all of the criteria, please apply as you may still be the best candidate for this role or another role within our organisation. 


We are also open to discussing part-time, flexible, and hybrid working options if suitable within the role. 


#LI-Hybrid

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How to Get a Better Machine Learning Job After a Lay-Off or Redundancy

Redundancy in machine learning can feel especially frustrating when your role was technically advanced, strategically important, or AI-facing. But the UK still has strong demand for machine learning professionals across fintech, healthtech, retail, cybersecurity, autonomous systems, and generative AI. Whether you're a research-oriented ML engineer, production-focused MLOps developer, or applied scientist, this guide is designed to help you bounce back from redundancy and find a better opportunity that suits your goals.

Machine Learning Jobs Salary Calculator 2025: Figure Out Your True Worth in Seconds

Why last year’s pay survey is useless for UK ML professionals today Ask a Machine Learning Engineer wrangling transformer checkpoints, an MLOps Lead firefighting drift alarms, or a Research Scientist training diffusion models at 3 a.m.: “Am I earning what I deserve?” The honest answer changes monthly. A single OpenAI model drop doubles GPU demand, healthcare regulators release fresh explainability guidance, & a fintech unicorn pays six figures for vector‑search expertise. Each shock nudges salary bands. Any PDF salary guide printed in 2024 now looks like an outdated Jupyter notebook—missing the gen‑AI tsunami, the surge in edge inference, & the UK’s new Responsible‑AI framework. To give ML professionals an accurate benchmark, MachineLearningJobs.co.uk distilled a transparent, three‑factor formula that estimates a realistic 2025 salary in under a minute. Feed in your discipline, UK region, & seniority; you’ll receive a defensible figure—no stale averages, no guesswork. This article unpacks the formula, highlights the forces driving ML pay skyward, & offers five practical moves to boost your value inside the next ninety days.

How to Present Machine Learning Solutions to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

Machine learning is driving change across nearly every industry—from retail and finance to health and logistics. But while the technology continues to evolve rapidly, the ability to communicate it clearly has become just as important as building the models themselves. Whether you're applying for a junior ML engineer role, a research position, or a client-facing AI consultant job, UK employers increasingly expect candidates to explain complex machine learning solutions to non-technical audiences. In this guide, you’ll learn how to confidently present your work, structure your message, use simple visuals, and explain the real-world value of machine learning in a way that makes sense to people without a background in data science.