HR Data Analyst

HR Data Analyst

Full-Time 26000 - 29000 € / year (est.) No home office possible
Morgan Hunt

At a Glance

  • Tasks: Support data migration and validation for a major HR systems upgrade.
  • Company: Join a leading organisation driving transformation in HR technology.
  • Benefits: Competitive salary, potential contract extension, and flexible working options.
  • Other info: Dynamic project environment with opportunities for professional growth.
  • Why this job: Be at the forefront of modernising HR systems and ensuring data integrity.
  • Qualifications: Experience with HR systems and strong data analysis skills required.

The predicted salary is between 26000 - 29000 € per year.

We're looking for a detail‑oriented HR Data Analyst to join a major transformation programme, supporting the implementation of a modern HR landscape including platforms such as SAP S/4HANA, SuccessFactors, Oracle, or iTrent. This is a fantastic opportunity to work at the heart of a large‑scale systems upgrade, ensuring data is accurate, consistent, and fit for purpose as it moves into new environments.

As an HR Data Analyst, you'll play a key role in supporting data migration and validation activities across the programme:

  • Analyse, cleanse, and prepare data for migration into new HR systems
  • Perform pre‑ and post‑migration data checks to ensure accuracy and integrity
  • Support data validation and reconciliation activities
  • Assist with testing phases, including UAT and parallel runs where required
  • Work closely with functional teams (HR, Finance, Procurement) to understand data requirements
  • Identify and escalate data quality issues and inconsistencies
  • Contribute to continuous improvement of data processes and controls

You're someone who enjoys working with data, spotting patterns, and ensuring things are done right.

Requirements:

  • Experience working with HR systems (e.g. SAP, Oracle, iTrent or similar)
  • Strong skills in data analysis, validation, and cleansing
  • Understanding of data migration processes
  • High attention to detail and a structured approach to problem‑solving
  • Ability to work in a fast‑paced project environment
  • Strong Excel skills (or similar data tools)

HR Data Analyst employer: Morgan Hunt

Join a forward-thinking organisation in Leeds as an HR Data Analyst, where you will be part of a transformative journey to modernise HR systems. With a strong emphasis on employee development and a collaborative work culture, we offer competitive salaries, flexible working arrangements, and opportunities for career progression within a supportive environment. Experience the unique advantage of contributing to significant projects while enjoying a balanced work-life dynamic in a vibrant city.

Morgan Hunt

Contact Detail:

Morgan Hunt Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land HR Data Analyst

Tip Number 1

Network like a pro! Reach out to people in the HR and data analysis fields on LinkedIn. Join relevant groups, attend webinars, and don’t be shy about asking for informational interviews. You never know who might have the inside scoop on job openings!

Tip Number 2

Prepare for those interviews! Research common HR Data Analyst interview questions and practice your answers. Make sure you can talk confidently about your experience with data migration and validation, as well as your familiarity with systems like SAP or Oracle.

Tip Number 3

Show off your skills! Create a portfolio showcasing your data analysis projects or any relevant work you've done. This could be anything from data cleansing examples to reports you've generated. It’s a great way to demonstrate your capabilities beyond just a CV.

Tip Number 4

Don’t forget to apply through our website! We’ve got loads of opportunities that might not be listed elsewhere. Plus, applying directly shows your enthusiasm and commitment to joining our team. Let’s get you that HR Data Analyst role!

We think you need these skills to ace HR Data Analyst

Data Analysis
Data Validation
Data Cleansing
Data Migration Processes
Attention to Detail
Problem-Solving Skills
Experience with HR Systems (SAP, Oracle, iTrent)

Some tips for your application 🫡

Tailor Your CV:Make sure your CV is tailored to the HR Data Analyst role. Highlight your experience with HR systems like SAP or Oracle, and showcase your data analysis skills. We want to see how your background fits perfectly with what we're looking for!

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data and how you can contribute to our transformation programme. Keep it concise but engaging – we love a good story!

Show Off Your Attention to Detail:As an HR Data Analyst, attention to detail is key. Make sure your application is free from typos and errors. We appreciate candidates who take the time to double-check their work – it shows you care!

Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates. Plus, it’s super easy!

How to prepare for a job interview at Morgan Hunt

Know Your Data Tools

Make sure you brush up on your knowledge of HR systems like SAP, Oracle, or iTrent. Be ready to discuss how you've used these tools in the past, and think of specific examples where your data analysis skills made a difference.

Showcase Your Attention to Detail

Since this role requires a high level of accuracy, prepare to demonstrate your attention to detail. You could bring along a sample of your work that highlights your data cleansing and validation processes, or even talk through a project where you identified and resolved data quality issues.

Understand the Migration Process

Familiarise yourself with data migration processes, as this is a key part of the job. Be prepared to explain how you would approach pre- and post-migration checks, and share any relevant experiences you've had with similar projects.

Communicate Effectively

You'll be working closely with various teams, so strong communication skills are essential. Practice explaining complex data concepts in simple terms, and think about how you can convey your findings to non-technical stakeholders during the interview.