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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 significant 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 in London 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 in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the finance and data analysis sectors. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Prepare for those interviews! Brush up on your Workday Financials and PSA knowledge. We recommend practising common interview questions and scenarios related to data quality and analysis to show off your skills.
✨Tip Number 3
Showcase your analytical prowess! Bring examples of past projects where you’ve ensured data accuracy and tackled challenges head-on. We want to see how you’ve made an impact in previous roles.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. We’re here to help you every step of the way, so let’s get you that job!
We think you need these skills to ace Workday Finance & PSA Data Analyst - Drive Data Quality in London
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 analytical skills!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the easiest way for us to keep track of your application and ensures you don’t miss out on any important updates from us!
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 also leverage it effectively.
✨Showcase Your Analytical Skills
Prepare examples of how you've tackled data analysis, validation, and reconciliation in previous positions. Use the STAR method (Situation, Task, Action, Result) to structure your responses, highlighting your problem-solving abilities and attention to detail.
✨Embrace the Fast-Paced Environment
Since this role thrives in a fast-paced setting, be ready to discuss how you've managed competing priorities before. Share specific instances where you successfully juggled multiple tasks while maintaining high-quality work.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's approach to data quality and the challenges they face. This not only shows your interest in the role but also demonstrates your proactive mindset and eagerness to contribute to their success.
