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: Dynamic role with potential for significant impact on HR practices.
- Why this job: Be a key player in transforming HR data for a future-ready workforce.
- Qualifications: Experience in data analysis, HRIS transformation, and strong SQL skills.
The predicted salary is between 50000 - 65000 £ 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.
- Support RFP processes, assessing prospective vendors against organisational data needs.
- 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 in Slough 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 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 in Slough
✨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 introducing yourself. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects, especially those related to HRIS or data governance. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common HR data scenarios. Be ready to discuss how you've tackled data migration challenges or improved data quality in past roles. We want to see your problem-solving skills in action!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace HR Data Analyst - HRIS Transformation Programme in Slough
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 just list your skills; demonstrate them! Use specific examples from your past work that show how you’ve successfully mapped data landscapes or led data validation processes. This helps us see your practical experience in action.
Keep It Clear and Concise:When writing your application, clarity is key. Avoid jargon and make sure your points are easy to understand. Remember, we’re looking for someone who can translate complex data concepts into business-friendly language!
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
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 specific examples from your past experiences, especially those related to data migration and governance. This will show that you understand the complexities of the role.
✨Speak Their Language
Since you'll be translating complex data concepts for non-technical stakeholders, practice explaining your previous projects in simple terms. Use relatable analogies or examples to demonstrate your ability to communicate effectively across different teams.
✨Showcase Your Technical Skills
Be ready to discuss your proficiency with SQL, Excel, and PowerBI. Consider preparing a few examples of how you've used these tools in your previous roles to solve problems or improve processes. This will highlight your hands-on experience and technical expertise.
✨Prepare for Scenario Questions
Expect questions that ask you to solve hypothetical scenarios related to data validation, quality checks, or migration plans. Think through your approach to these situations beforehand, as it will demonstrate your problem-solving skills and strategic thinking.
