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- Tasks: Analyse and validate HCM data for a Workday implementation.
- Company: Join Investigo, a leading recruitment firm focused on your success.
- Benefits: Competitive salary, flexible working options, and career development opportunities.
- Why this job: Be part of a dynamic team making a real impact in HR tech.
- Qualifications: Experience with Workday HCM and strong analytical skills required.
- Other info: Fast-paced environment with excellent growth potential.
The predicted salary is between 28800 - 48000 £ per year.
We are seeking an experienced Workday HCM Data Analyst to support a Workday Human Capital Management (HCM) implementation. This role will focus on data analysis, validation, reconciliation, and reporting to ensure the accuracy, consistency, and quality of HCM data throughout the implementation lifecycle.
Required Skills & Experience
- Proven experience as a Workday HCM Data Analyst or in a similar role supporting Workday HCM implementations.
- Strong hands-on experience with Workday HCM modules, such as Core HCM, Staffing, Compensation, Benefits, Absence, and/or Talent.
- Solid understanding of HCM data models, including worker, position, job, organisation, compensation, benefits, and related transactional data.
- Strong data analysis, validation, and reconciliation capabilities.
- Experience supporting data conversion and testing activities during Workday HCM implementations.
- High attention to detail with strong analytical and problem-solving skills.
- Ability to work effectively in fast-paced, delivery-focused environments with tight deadlines.
Workday Data Analyst (HCM) in London employer: Investigo
Contact Detail:
Investigo Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Workday Data Analyst (HCM) in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who have experience with Workday HCM. A friendly chat can lead to insider info about job openings or even referrals.
✨Tip Number 2
Prepare for interviews by brushing up on your Workday HCM knowledge. Be ready to discuss specific modules like Core HCM and Compensation, and think of examples where you've successfully handled data analysis or validation.
✨Tip Number 3
Showcase your analytical skills! During interviews, highlight your attention to detail and problem-solving abilities. Use real-life scenarios to demonstrate how you’ve tackled data reconciliation challenges in past roles.
✨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 Data Analyst (HCM) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Workday HCM Data Analyst role. Highlight your experience with Workday modules and data analysis skills, as this will show us you’re a perfect fit for the job.
Showcase Relevant Experience: In your application, emphasise any hands-on experience you have with HCM data models and implementations. We want to see how your background aligns with the requirements listed in the job description.
Be Detail-Oriented: Since attention to detail is key for this role, ensure your application is free from typos and errors. A polished application reflects your analytical skills and professionalism, which we value highly.
Apply Through Our Website: We encourage you to apply directly through our website. This not only streamlines the process but also ensures that your application gets the attention it deserves from our recruitment team.
How to prepare for a job interview at Investigo
✨Know Your Workday Modules
Make sure you brush up on your knowledge of Workday HCM modules like Core HCM, Staffing, and Compensation. Be ready to discuss how you've used these in past roles, as this will show your hands-on experience and understanding of the system.
✨Data Analysis Skills on Display
Prepare to showcase your data analysis, validation, and reconciliation skills. Bring examples of how you've tackled data issues in previous projects, and be ready to explain your thought process and problem-solving techniques.
✨Attention to Detail is Key
Highlight your attention to detail during the interview. You might want to share specific instances where your meticulous nature helped catch errors or improve data quality, as this aligns perfectly with the role's requirements.
✨Fast-Paced Environment Experience
Since the role involves working in a fast-paced environment, think of examples from your past where you successfully managed tight deadlines. Discuss how you prioritised tasks and maintained quality under pressure to demonstrate your ability to thrive in such settings.
