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- Tasks: Analyse and validate data to ensure accuracy in Workday Financials and PSA projects.
- Company: Leading recruitment agency in Greater London with a focus on innovation.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Join a dynamic team and make a real impact on financial data quality.
- Qualifications: Experience with Workday Financials and PSA, plus strong analytical skills.
- Other info: Fast-paced environment with exciting challenges and career advancement potential.
The predicted salary is between 36000 - 60000 £ per year.
A prominent recruitment agency in Greater London is seeking an experienced Workday Finance & PSA Data Analyst to support the implementation of Workday Financials and PSA. The position involves extensive data analysis, validation, and reconciliation to ensure data accuracy throughout the project lifecycle.
Candidates should have proven experience in Workday Financials and PSA, along with strong analytical skills. This role thrives in a fast-paced environment with competing priorities.
Workday Finance & PSA Data Analyst - Drive Data Quality employer: Investigo
Contact Detail:
Investigo Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Workday Finance & PSA Data Analyst - Drive Data Quality
✨Tip Number 1
Network like a pro! Reach out to your connections in the finance and data analysis sectors. Let them know you're on the lookout for opportunities, and who knows? They might just have the inside scoop on a role that’s perfect for you.
✨Tip Number 2
Prepare for those interviews by brushing up on your Workday Financials and PSA knowledge. We recommend creating a list of common interview questions and practising your answers. This way, you’ll feel confident and ready to impress!
✨Tip Number 3
Showcase your analytical skills! During interviews, be ready to discuss specific examples of how you've tackled data quality issues in the past. We love hearing about real-life scenarios where you’ve made a difference.
✨Tip Number 4
Don’t forget to apply through our website! It’s super easy and ensures your application gets the attention it deserves. Plus, we’re always on the lookout for talented individuals like you to join our team.
We think you need these skills to ace Workday Finance & PSA Data Analyst - Drive Data Quality
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Workday Financials and PSA. We want to see how your skills match the job description, so don’t be shy about showcasing your analytical prowess!
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. We love seeing enthusiasm and a clear understanding of the position, so let your personality come through.
Showcase Your Data Skills: Since this role involves extensive data analysis, make sure to include specific examples of your past work with data validation and reconciliation. We’re looking for concrete evidence of your ability to ensure data accuracy!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the easiest way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Investigo
✨Know Your Workday Inside Out
Make sure you brush up on your Workday Financials and PSA knowledge. Be ready to discuss specific features, functionalities, and how you've used them in past roles. This will show that you're not just familiar with the system but can leverage it effectively.
✨Data Analysis is Key
Prepare to showcase your analytical skills. Bring examples of how you've tackled data validation and reconciliation challenges in previous projects. Use metrics or outcomes to illustrate your impact, as this will resonate well with the interviewers.
✨Embrace the Fast-Paced Environment
Since the role thrives in a fast-paced setting, be ready to discuss how you manage competing priorities. Share specific strategies or tools you use to stay organised and efficient, demonstrating that you can handle the pressure.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's approach to data quality and the specific challenges they face. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
