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 contract rate, hybrid work model, and potential for extension.
- Other info: Opportunity to engage with stakeholders and enhance your analytical skills.
- Why this job: Be part of a transformative project that impacts the aviation industry.
- Qualifications: Experience in HRIS implementations and advanced 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.
- 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.
Requirements:
- 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 - Tableau/Excel in City of London employer: Hays
As a leading multinational airline holding company, we pride ourselves on fostering a dynamic and inclusive work environment that champions employee growth and development. Our London-based team enjoys the benefits of a hybrid working model, competitive contract rates, and the opportunity to contribute to a significant transformation project within the aviation sector. Join us to be part of a collaborative culture where your expertise in data analysis will directly impact our reward strategies and enhance our HR systems.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst - Tableau/Excel 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 Excel and Tableau skills. Be ready to showcase how you've used these tools in past projects, especially in data validation and analysis.
✨Tip Number 3
Showcase your stakeholder management skills! Think of examples where you've communicated complex data to non-technical audiences. This will highlight your ability to bridge the gap between Reward and HRIS teams.
✨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 Data Analyst - Tableau/Excel in City of London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Analyst role. Highlight your experience with Excel and any relevant HRIS implementations, especially Oracle HCM. We want to see how your skills align with the job description!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're the perfect fit for this role. Mention your attention to detail and your experience in data validation and stakeholder management. Let us know why you’re excited about this opportunity!
Showcase Your Analytical Skills:In your application, don’t forget to showcase your analytical skills. Provide examples of how you've used Excel to analyse large datasets or identify trends. We love seeing real-life applications of your skills!
Apply Through Our Website:We encourage you to apply through our website for a smoother 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
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 or similar systems.
✨Show Off Your Excel Skills
Since advanced Excel skills are a must for this role, prepare to demonstrate your ability to analyse large datasets. Bring examples of how you've identified trends or resolved discrepancies in previous projects, and be ready to talk through your thought process.
✨Communicate Like a Pro
You'll need to explain technical data to non-technical stakeholders, so practice simplifying complex concepts. Think of examples where you've successfully communicated data insights and how that impacted decision-making.
✨Be Detail-Oriented
This role requires a high attention to detail, so come prepared with examples that showcase your meticulousness. Discuss how you've ensured data accuracy in past projects and how you approach problem-solving when discrepancies arise.
