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- Tasks: Support and maintain Workday's HCM modules while troubleshooting user issues.
- Company: Global loyalty solutions company based in London with a collaborative culture.
- Benefits: Flexible hybrid work model and opportunities for professional growth.
- Why this job: Join a fast-paced environment and make a real impact on business processes.
- Qualifications: Experience in data management and strong problem-solving skills.
- Other info: Embrace flexibility while working with a dynamic team.
The predicted salary is between 36000 - 60000 £ per year.
A global loyalty solutions company based in London is seeking an Associate Workday Analyst to support and maintain Workday's HCM modules. In this role, you will troubleshoot end user issues, optimize business processes, and ensure data integrity. The company embraces a hybrid work model, offering flexibility while fostering team collaboration.
Candidates should have experience with data management and a problem-solving mindset. If you thrive in a fast-paced environment and are committed to creating effective solutions, apply now.
Workday HCM Analyst: Data, Reports & Optimisation in London employer: IAG Loyalty
Contact Detail:
IAG Loyalty Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Workday HCM Analyst: Data, Reports & Optimisation in London
✨Tip Number 1
Network like a pro! Reach out to current or former employees on LinkedIn and ask about their experiences. This can give you insider info and might even lead to a referral.
✨Tip Number 2
Prepare for the interview by practising common questions related to data management and problem-solving. We recommend using the STAR method to structure your answers – it really helps in showcasing your skills!
✨Tip Number 3
Showcase your passion for optimisation! Be ready to discuss specific examples of how you've improved processes in previous roles. This will demonstrate your proactive approach and fit for the role.
✨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 take that extra step to connect with us directly.
We think you need these skills to ace Workday HCM Analyst: Data, Reports & Optimisation in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with data management and problem-solving. We want to see how your skills align with the Workday HCM modules and the specific requirements of the role.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about optimising business processes. Share examples of how you've tackled challenges in the past, especially in fast-paced environments.
Showcase Your Team Spirit: Since we value collaboration, mention any experiences where you worked effectively in a team. Highlight how you contributed to achieving common goals, especially in hybrid work settings.
Apply Through Our Website: We encourage you to apply directly 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 updates!
How to prepare for a job interview at IAG Loyalty
✨Know Your Workday Inside Out
Make sure you brush up on your knowledge of Workday's HCM modules. Familiarise yourself with common troubleshooting scenarios and data management practices. This will not only show your expertise but also demonstrate your commitment to the role.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex issues in the past. Think about specific situations where you optimised processes or ensured data integrity. This will help you illustrate your problem-solving mindset, which is crucial for this position.
✨Embrace the Hybrid Work Model
Since the company values flexibility and collaboration, be ready to discuss how you thrive in a hybrid work environment. Share experiences where you've successfully collaborated with teams remotely and in-person, highlighting your adaptability.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's approach to data management and process optimisation. This shows your genuine interest in the role and helps you understand how you can contribute to their goals effectively.
