At a Glance
- Tasks: Support a major Oracle HCM transformation by managing reward data and ensuring accuracy.
- Company: Join a leading multinational airline holding company with a global presence.
- Benefits: Competitive daily rate, hybrid working model, and potential for contract extension.
- Other info: Dynamic role with opportunities for professional growth and stakeholder engagement.
- Why this job: Be part of a transformative project that shapes the future of HR in aviation.
- Qualifications: Experience in Reward Analysis and strong Excel skills required.
The predicted salary is between 45000 - 54000 € per year.
Join a leading multinational airline holding company as a Reward Data Analyst! We are seeking a detail-oriented and delivery-focused Reward Data Analyst to support a major Oracle HCM transformation programme within a global aviation group. This role sits at the intersection of Reward and HR systems, ensuring the accurate migration, validation, and implementation of compensation and job architecture data. You will play a critical role in supporting the successful delivery of a large-scale transformation project, working closely with both Reward stakeholders and HRIS teams.
Contract Details:
- Contract Length: 6 months (with visibility to extend)
- Contract Rate: £450 per day (inside IR35)
- Location: London (hybrid – 3 times per week on-site)
Key Responsibilities:
- Lead reward-specific data preparation, migration, and testing activities across HCM build and deployment phases.
- Act as the key interface between Reward and HRIS teams, ensuring alignment on compensation and job architecture data.
- Support job architecture activities including job title cleansing, job family and level mapping, and pay range validation.
- Execute system testing cycles, identifying defects, data discrepancies, and risks, and driving resolution with stakeholders.
- Perform detailed data validation and scenario-based analysis to ensure accuracy and system readiness.
- Maintain and organise key documentation including job architecture, organisational structures, and reward policies.
- Support stakeholder engagement and change activities by explaining reward impacts and contributing to training and communications.
Key Requirements:
- Proven experience in a Reward Analyst or Reward-focused HRIS role within a large, complex organisation.
- Strong understanding of compensation, salary structures, and job architecture frameworks.
- Experience supporting HRIS implementations or Oracle HCM testing cycles (Oracle HCM highly desirable).
- Advanced Excel skills with the ability to analyse large datasets and identify trends, gaps, and inconsistencies.
- Strong stakeholder management skills with the ability to communicate technical data clearly to non-technical audiences.
- High attention to detail, with a proactive and analytical approach to problem solving and data governance.
Start Date: ASAP
Data Analyst - Reward in City of London employer: Hays
Join a dynamic and innovative multinational airline holding company that prioritises employee development and well-being. With a hybrid work model in London, we foster a collaborative culture where your contributions directly impact a major Oracle HCM transformation programme. Enjoy competitive compensation, opportunities for professional growth, and the chance to work alongside industry experts in a supportive environment.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst - Reward in City of London
✨Tip Number 1
Network like a pro! Reach out to current or former employees of the airline and ask about their experiences. A friendly chat can give you insider info and might even lead to a referral.
✨Tip Number 2
Prepare for the interview by brushing up on your knowledge of Oracle HCM and data validation techniques. We want you to showcase your skills confidently, so practice answering common questions related to reward analysis.
✨Tip Number 3
Don’t forget to highlight your advanced Excel skills! Bring examples of how you've used Excel to analyse large datasets in past roles. This will show them you're ready to tackle the data-heavy aspects of the job.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the team.
We think you need these skills to ace Data Analyst - Reward in City of London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Reward Data Analyst role. Highlight your experience with compensation structures and HRIS systems, especially if you've worked with Oracle HCM before. We want to see how your skills align 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 this role and how your background makes you a perfect fit. Don’t forget to mention any relevant projects or achievements that showcase your analytical skills.
Showcase Your Attention to Detail:As a Reward Data Analyst, attention to detail is key. In your application, provide examples of how you've ensured data accuracy in past roles. This will demonstrate your proactive approach to problem-solving and data governance, which we highly value.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Plus, it’s super easy!
How to prepare for a job interview at Hays
✨Know Your Data Inside Out
As a Reward Data Analyst, you'll be dealing with a lot of data. Make sure you brush up on your knowledge of compensation structures and job architecture frameworks. Be ready to discuss how you've handled data migration and validation in the past, especially if you've worked with Oracle HCM.
✨Showcase Your Stakeholder Skills
This role requires strong stakeholder management skills. Prepare examples of how you've effectively communicated complex data to non-technical audiences. Think about times when you’ve had to align different teams and how you navigated those conversations.
✨Excel is Your Best Friend
Advanced Excel skills are a must for this position. Be prepared to talk about your experience analysing large datasets. You might even want to bring along a few examples of your work or be ready to solve a quick data problem during the interview.
✨Attention to Detail is Key
With a focus on data accuracy, highlight your attention to detail. Share specific instances where your analytical approach helped identify discrepancies or risks in data. This will show that you’re proactive and can handle the responsibilities of the role.
