At a Glance
- Tasks: Map and analyse HR data, ensuring quality and integrity across systems.
- Company: Join a forward-thinking organisation committed to HR data excellence.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and career advancement.
- Why this job: Be part of a transformative HRIS project that shapes the future of HR data.
- Qualifications: Experience in data analysis, HRIS transformation, and strong SQL skills.
The predicted salary is between 50000 - 60000 £ per year.
We are looking for an experienced Senior Data Analyst to play a key role in a large‑scale HRIS system transformation programme. Working across HR, Technology and Data Governance workstreams, this is a critical role for an organisation committed to building a robust, future‑ready HR data landscape.
What You'll Do
- Map and analyse the current HR data landscape, translating complex business requirements and disparate data sources into clear data specifications.
- Partner with Data Governance leads and a Data Architect to define data ownership, stewardship, quality rules and support development of conceptual, logical and physical data models.
- Lead the development of data validation rules, quality checkpoints, data profiling and integrity checks across all HR datasets.
- Design and execute data migration plans in close collaboration with HRIS vendors and technology teams, including defining transformation rules and mapping specifications from Legacy systems.
- Support migration testing cycles including SIT, UAT and parallel runs, with full data reconciliation.
- Contribute to data dictionaries, business glossaries and metadata standards.
- Enable future HR reporting and analytics by ensuring HRIS design and data models support strategic reporting requirements across workforce, payroll, reward, talent and EDI functions.
- Translate complex data concepts into clear, business‑friendly documentation for non‑technical stakeholders.
What You'll Bring
- Proven experience as a Senior Data Analyst, with strong knowledge of HR data, best practices and regulatory requirements.
- Hands‑on experience on an HRIS or large‑scale ERP transformation programme in a similar capacity.
- Knowledge of data modelling practices including conceptual and logical model creation.
- Proven experience in data migration for large‑scale HR or ERP systems.
- Familiarity with data governance principles including data ownership, stewardship and quality frameworks.
- Proficiency with SQL, Excel and PowerBI.
- Strong documentation skills and the ability to communicate complex data concepts to non‑technical audiences.
- Knowledge of modern data warehouses, data lakes or data lakehouses is beneficial.
HR Data Analyst - HRIS Transformation Programme employer: Qh4 Consulting
Join a forward-thinking organisation that prioritises employee development and fosters a collaborative work culture. As an HR Data Analyst in our HRIS Transformation Programme, you will benefit from comprehensive training opportunities, a supportive team environment, and the chance to make a significant impact on our HR data landscape. Located in a vibrant area, we offer a dynamic workplace that values innovation and encourages professional growth.
StudySmarter Expert Advice🤫
We think this is how you could land HR Data Analyst - HRIS Transformation Programme
✨Tip Number 1
Network like a pro! Reach out to your connections in the HR and data analytics fields. Attend industry events or webinars, and don’t be shy about asking for informational interviews. We all know that sometimes it’s not just what you know, but who you know!
✨Tip Number 2
Prepare for those interviews by brushing up on your technical skills. Make sure you can confidently discuss SQL, Excel, and PowerBI. We recommend doing some mock interviews with friends or using online platforms to get comfortable with common questions related to HR data analysis.
✨Tip Number 3
Showcase your projects! If you've worked on any relevant data migration or HRIS transformation projects, create a portfolio or case studies. We love seeing real-world examples of your work, so make sure to highlight your contributions and the impact they had.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always looking for passionate candidates who are ready to dive into the world of HR data analysis with us!
We think you need these skills to ace HR Data Analyst - HRIS Transformation Programme
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 data, data migration, and any relevant projects you've worked on. We want to see how your skills match what we're looking for!
Showcase Your Skills:Don’t forget to showcase your technical skills! Mention your proficiency in SQL, Excel, and PowerBI, as well as your experience with data modelling and governance. This is your chance to shine, so let us know what you can do!
Craft a Compelling Cover Letter:Your cover letter should tell us why you're the perfect fit for this role. Share specific examples of your past work that relate to the job description. We love a good story, especially if it shows how you’ve tackled similar challenges before!
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep everything organised and ensures your application gets the attention it deserves. Plus, it’s super easy!
How to prepare for a job interview at Qh4 Consulting
✨Know Your Data Inside Out
Make sure you brush up on your knowledge of HR data and best practices. Be prepared to discuss how you've previously mapped and analysed data landscapes, as well as any experience you have with data migration and governance principles.
✨Showcase Your Technical Skills
Familiarise yourself with SQL, Excel, and PowerBI before the interview. Be ready to provide examples of how you've used these tools in past projects, especially in relation to data validation and quality checks.
✨Communicate Clearly
Practice translating complex data concepts into simple terms. You might be asked to explain your work to non-technical stakeholders, so being able to communicate effectively is key. Think of examples where you've done this successfully.
✨Prepare for Scenario Questions
Anticipate questions about specific scenarios you might face in the role, such as designing data migration plans or handling data integrity issues. Prepare structured responses that highlight your problem-solving skills and experience in similar situations.
