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- Tasks: Analyse and validate financial data using Workday Financials and PSA.
- Company: Join a forward-thinking company focused on innovative financial solutions.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Make an impact by ensuring data accuracy in exciting Workday implementations.
- Qualifications: Experience with Workday Financials and strong analytical skills required.
- Other info: Fast-paced environment with great potential for career advancement.
The predicted salary is between 36000 - 60000 £ per year.
We are seeking an experienced Workday Finance & PSA Data Analyst to support the implementation of Workday Financials (FINS) and Professional Services Automation (PSA). The role will be responsible for end-to-end data analysis, validation, reconciliation, and reporting, ensuring the accuracy, consistency, and quality of financial and PSA data throughout the implementation lifecycle.
Responsibilities
- Demonstrated experience in a Workday Finance Data Analyst, Workday PSA Data Analyst, or comparable role.
- Strong hands-on expertise with Workday Financials and Workday PSA.
- Solid understanding of financial and PSA data structures, including customers, suppliers, projects, transactions, revenue, and costs.
- Proven ability to perform detailed data analysis, validation, and reconciliation.
- Experience supporting data conversion activities and testing phases within Workday implementations.
- Exceptional attention to detail, paired with strong analytical and problem-solving skills.
- Ability to thrive in fast-paced, delivery-driven environments and manage competing priorities effectively.
Workday Data Analyst (FINS & PSA) employer: Investigo
Contact Detail:
Investigo Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Workday Data Analyst (FINS & PSA)
✨Tip Number 1
Network like a pro! Reach out to your connections in the finance and PSA sectors. We all know that sometimes it’s not just what you know, but who you know. Attend industry events or webinars to meet potential employers and get your name out there.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects, especially those related to Workday Financials and PSA. This will give you an edge and demonstrate your hands-on expertise to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on common questions related to Workday implementations. We recommend practising your responses to scenarios involving data validation and reconciliation, as these are key aspects of 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’re always looking for talented individuals like you to join our team!
We think you need these skills to ace Workday Data Analyst (FINS & PSA)
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 relevant expertise!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for the Workday Data Analyst role. Share specific examples of your data analysis and reconciliation experience to grab our attention.
Showcase Your Analytical Skills: Since this role requires strong analytical abilities, make sure to include any relevant projects or experiences that demonstrate your problem-solving skills. We love seeing how you’ve tackled challenges in the past!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
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. Familiarise yourself with the data structures, key functionalities, and any recent updates. Being able to discuss specific features or challenges you've faced will show your expertise.
✨Prepare for Data Analysis Questions
Expect questions that dive deep into your data analysis skills. Be ready to share examples of how you've performed validation, reconciliation, and reporting in past roles. Use the STAR method (Situation, Task, Action, Result) to structure your answers effectively.
✨Showcase Your Problem-Solving Skills
Highlight your analytical thinking by discussing how you've tackled complex data issues in previous projects. Prepare a couple of scenarios where you identified a problem, analysed the data, and implemented a solution. This will demonstrate your ability to thrive in fast-paced environments.
✨Ask Insightful Questions
At the end of the interview, have a few thoughtful questions ready about the company's Workday implementation process or team dynamics. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
