At a Glance
- Tasks: Lead data preparation and testing for a major HR transformation project.
- Company: Join a leading multinational airline holding company.
- Benefits: Competitive daily rate, hybrid working, and potential contract extension.
- Other info: Dynamic role with opportunities for professional growth and stakeholder engagement.
- Why this job: Make a real impact in the aviation industry while developing your data analysis skills.
- Qualifications: Experience with HRIS implementations and advanced Excel skills required.
The predicted salary is between 45000 - 55000 € 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.
Required Skills:
- 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, Power BI, SQL employer: Hays
Join a dynamic and innovative multinational airline holding company that values its employees and fosters a collaborative work culture. With a strong focus on professional development, you will have access to numerous growth opportunities while working in the vibrant city of London, where a hybrid work model allows for flexibility and work-life balance. As part of a dedicated team, you will contribute to impactful projects that shape the future of aviation, all while enjoying competitive compensation and a supportive environment.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst - Tableau, Power BI, SQL
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those working at the airline or similar companies. A friendly chat can open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Prepare for interviews by practising common questions related to data analysis and HRIS systems. We recommend using the STAR method to structure your answers – it helps you showcase your skills effectively!
✨Tip Number 3
Showcase your analytical skills with real examples! Bring along case studies or projects where you've successfully handled data migration or validation. This will demonstrate your hands-on experience and problem-solving abilities.
✨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, Power BI, SQL
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Analyst role. Highlight your experience with Tableau, Power BI, and SQL, and don’t forget to mention any relevant projects or achievements that showcase your skills in data migration and validation.
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 understanding of compensation structures and how your analytical skills can contribute to the Oracle HCM transformation programme.
Showcase Your Attention to Detail:Since this role requires a high attention to detail, make sure your application is free from typos and errors. You could even include examples of how your meticulous nature has helped in past projects, especially in data validation or testing.
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 regarding your application status!
How to prepare for a job interview at Hays
✨Know Your Data Tools
Make sure you brush up on your skills with Tableau, Power BI, and SQL. Be ready to discuss how you've used these tools in past projects, especially in relation to data migration and validation. Having specific examples at hand will show your expertise and confidence.
✨Understand the Role of Reward Data
Familiarise yourself with compensation structures and job architecture frameworks. Being able to articulate how these elements fit into HR systems will impress the interviewers. They want to see that you can connect the dots between data analysis and its impact on reward strategies.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve hypothetical problems related to data discrepancies or system testing. Practise articulating your thought process clearly, as this will demonstrate your analytical skills and attention to detail, which are crucial for this role.
✨Showcase Your Stakeholder Management Skills
Be prepared to discuss how you've effectively communicated technical data to non-technical audiences in the past. Highlight any experiences where you’ve engaged stakeholders during a project, as this will show your ability to bridge the gap between technical and non-technical teams.
