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For Companies At a Glance
- Tasks: Lead the implementation and optimisation of Workday Planning and Analytics solutions.
- Company: Join a forward-thinking company that values innovation and data-driven decision-making.
- Benefits: Enjoy flexible working options and opportunities for professional growth.
- Why this job: Be at the forefront of analytics, driving strategic insights and making a real impact.
- Qualifications: Experience with Workday Adaptive Planning or Prism Analytics is essential; strong communication skills are a must.
- Other info: Ideal for those passionate about data analysis and collaboration in a dynamic environment.
The predicted salary is between 48000 - 72000 £ per year.
Drive the implementation, optimization, and support of Workday Planning and Analytics solutions.
Responsibilities:
- Lead Workday Adaptive Planning and Workday Prism Analytics implementations.
- Configure and maintain planning models, dashboards, and reports.
- Analyze data and provide insights for strategic decision-making.
- Collaborate with stakeholders to define requirements and deliver solutions.
- Ensure data accuracy and integrity.
Skills:
- Workday Adaptive Planning and/or Workday Prism Analytics.
- Financial planning and analysis (FP&A) principles.
- Data analysis and visualization.
- Strong communication and collaboration.
Workday P&AC (Planning & Analytics) Lead employer: Queen Square Recruitment Limited
Contact Detail:
Queen Square Recruitment Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Workday P&AC (Planning & Analytics) Lead
✨Tip Number 1
Familiarise yourself with Workday Adaptive Planning and Workday Prism Analytics. Consider taking online courses or certifications to deepen your understanding of these tools, as this will demonstrate your commitment and expertise during the interview process.
✨Tip Number 2
Network with professionals in the field of financial planning and analytics. Attend industry events or join relevant online forums to connect with others who work with Workday solutions. This can provide you with valuable insights and potentially lead to referrals.
✨Tip Number 3
Prepare to discuss specific examples of how you've used data analysis and visualisation in past roles. Be ready to explain how your insights have influenced strategic decision-making, as this will showcase your practical experience and problem-solving skills.
✨Tip Number 4
Brush up on your communication and collaboration skills. Since the role involves working closely with stakeholders, practice articulating complex ideas clearly and concisely. Role-playing interviews with a friend can help you refine your approach.
We think you need these skills to ace Workday P&AC (Planning & Analytics) Lead
Some tips for your application 🫡
Understand the Role: Familiarise yourself with the responsibilities and skills required for the Workday P&AC Lead position. Highlight your experience with Workday Adaptive Planning and Prism Analytics in your application.
Tailor Your CV: Customise your CV to reflect your relevant experience in financial planning and analysis, data analysis, and visualisation. Use specific examples that demonstrate your ability to lead implementations and collaborate with stakeholders.
Craft a Compelling Cover Letter: Write a cover letter that showcases your understanding of the role and your passion for data-driven decision-making. Mention how your skills align with the company's needs and your approach to ensuring data accuracy and integrity.
Proofread and Edit: Before submitting your application, carefully proofread your documents for any spelling or grammatical errors. Ensure that your writing is clear and professional, as strong communication is key for this role.
How to prepare for a job interview at Queen Square Recruitment Limited
✨Showcase Your Workday Expertise
Make sure to highlight your experience with Workday Adaptive Planning and Workday Prism Analytics. Be prepared to discuss specific projects where you've implemented or optimised these solutions, as this will demonstrate your hands-on knowledge.
✨Demonstrate Analytical Skills
Since the role involves data analysis and providing insights, come prepared with examples of how you've used data to drive strategic decisions in previous roles. This could include discussing specific metrics you tracked and how they influenced outcomes.
✨Prepare for Collaboration Questions
Collaboration is key in this role, so expect questions about how you've worked with stakeholders in the past. Think of examples where you defined requirements and delivered solutions that met their needs, showcasing your communication skills.
✨Emphasise Data Integrity
Given the importance of data accuracy in this position, be ready to discuss your approach to ensuring data integrity. Share any processes or tools you've used to maintain high standards in data management.
