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- Tasks: Join us as an HRIS Analyst, focusing on HR reporting, analytics, and Workday support.
- Company: Capri Holdings includes iconic brands like Versace, Jimmy Choo, and Michael Kors.
- Benefits: Enjoy a creative work environment with opportunities for remote collaboration and professional growth.
- Why this job: Be part of a diverse team that values creativity and innovation in the fashion industry.
- Qualifications: 3+ years of experience, strong Excel skills, and a knack for problem-solving required.
- Other info: Capri is committed to inclusivity and equal opportunity for all applicants.
The predicted salary is between 36000 - 60000 £ per year.
Michael Kors is always interested in hearing from talented, globally-minded individuals with a passion for fashion. If you enjoy working in a creative, fast-paced environment, then we would love to hear from you!
We have an exciting opportunity at Capri Holdings: Versace, Jimmy Choo & Michael Kors for an HRIS Analyst in our London office:
Key Responsibilities:- HR Reporting & Analytics
- Partner with HR teams to assess, prioritize, and deliver ad hoc reporting and analytics.
- Leverage Workday reporting framework and build reports as needed to fulfill new and reoccurring reporting requests.
- Create process documentation on how to fulfill reoccurring reporting requirements.
- Design and build formula-driven Excel templates to assist HR with consolidating raw data.
- Support with researching HR talent trends and people analytics strategies.
- Create PowerPoint presentations and data visualizations to communicate results of analyses.
- Measure HR analytics for regulatory reporting (e.g., EEO, CSR, SEC 10-K), audit requests, and external survey participation.
- Provide project management and technical configuration support for internal employee surveys.
- Maintain the catalog of Workday reports ensuring accuracy and availability of reporting for stakeholders.
- Audit Workday HR data for data integrity and regular maintenance.
- Assist with managing and loading HR data into Workday (e.g., EIBs).
- Support efforts to configure, test, and deliver new Workday features and functionality.
- Identify opportunities to enhance Workday processes to improve automation.
- At least 3 years relevant work experience, with demonstrated experience using Microsoft Excel.
- Strong Microsoft Excel required (Excel test will be given).
- Strong critical thinking and ability to troubleshoot technical systems are essential.
- Experience with relational data, systems, and/or coding.
- Ability to manage large datasets.
- Extremely detail-oriented and analytical.
- Ability to research and problem solve independently.
- Comfortable working with a remote team.
- Excellent written and verbal communication skills.
At Capri, we are all responsible for creating a diverse and inclusive workplace. We try to inspire change and growth within each other and believe success is a result that comes from our differences. Capri is proud to be an equal opportunity employer committed to inclusivity regardless of age, sex, sexual orientation, gender identity, genetic characteristics, race, color, creed, religion, ethnicity, national origin, alienage, citizenship, disability, marital status, military status, pregnancy, or any other legally-recognized protected basis prohibited by applicable law.
Contact Detail:
Michael Kors Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land HRIS Analyst
✨Tip Number 1
Familiarise yourself with Workday, as it's a key tool for the HRIS Analyst role. Consider taking online courses or tutorials to enhance your understanding of its reporting framework and functionalities.
✨Tip Number 2
Brush up on your Excel skills, especially in creating formula-driven templates and handling large datasets. Practising with real-world data can help you feel more confident during any assessments.
✨Tip Number 3
Showcase your analytical skills by preparing examples of past projects where you've used data to drive decisions. Be ready to discuss how you approached problem-solving and what tools you used.
✨Tip Number 4
Network with professionals in the HRIS field, particularly those who have experience with Workday. Engaging in conversations can provide insights into the role and may even lead to referrals.
We think you need these skills to ace HRIS Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience, especially in HR reporting and analytics. Emphasise your proficiency in Microsoft Excel and any experience with Workday or similar systems.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for fashion and your analytical skills. Mention specific examples of how you've used data to drive decisions in previous roles.
Highlight Technical Skills: Clearly outline your technical skills, particularly in Excel and any coding or data management experience. This is crucial as the role requires strong analytical capabilities.
Showcase Communication Skills: Since the role involves creating presentations and communicating results, provide examples of your written and verbal communication skills. Consider including links to any relevant presentations or reports you've created.
How to prepare for a job interview at Michael Kors
✨Showcase Your Excel Skills
Since strong Microsoft Excel skills are a must for this role, be prepared to demonstrate your proficiency. Brush up on advanced functions, pivot tables, and data visualisation techniques, as you may be tested during the interview.
✨Understand Workday Reporting
Familiarise yourself with the Workday reporting framework. Be ready to discuss how you've used it in previous roles, and think of examples where you've created or improved reports to meet specific HR needs.
✨Prepare for Technical Questions
Expect questions that assess your critical thinking and troubleshooting abilities. Prepare to discuss past experiences where you successfully resolved technical issues or improved processes, especially related to HRIS.
✨Communicate Clearly
As excellent communication skills are essential, practice articulating your thoughts clearly and concisely. Be ready to explain complex data analyses in simple terms, as you may need to present findings to non-technical stakeholders.
