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For Companies At a Glance
- Tasks: Lead the implementation and optimisation of Workday Planning and Analytics solutions.
- Company: Join a dynamic team in London focused on innovative financial planning and analytics.
- Benefits: Enjoy a competitive salary and flexible working arrangements, with 2-3 days in the office.
- Why this job: Make a real impact by driving strategic decision-making through data insights and collaboration.
- Qualifications: Experience with Workday Adaptive Planning or Prism Analytics and strong data analysis skills required.
- Other info: This is a 6-month contract role, ideal for those looking to enhance their career in analytics.
The predicted salary is between 60000 - 84000 £ per year.
Duration: 6 months
Levels: Manager/ Senior Manager
Location: London 2 - 3 days a week
IR35: £750 Inside
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: Maclean Moore Ltd
Contact Detail:
Maclean Moore Ltd 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. Understanding the nuances of these tools will not only help you in interviews but also demonstrate your commitment to the role.
✨Tip Number 2
Network with professionals in the financial planning and analytics space. Engaging with others who have experience in Workday can provide valuable insights and potentially lead to referrals.
✨Tip Number 3
Prepare to discuss specific examples of how you've used data analysis to drive strategic decisions in previous roles. This will showcase your analytical skills and ability to collaborate effectively with stakeholders.
✨Tip Number 4
Stay updated on the latest trends in financial planning and analytics. Being knowledgeable about industry developments can set you apart during discussions and interviews.
We think you need these skills to ace Workday P&AC (Planning & Analytics) Lead
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and skills required for the Workday P&AC Lead position. Familiarise yourself with Workday Adaptive Planning and Workday Prism Analytics, as well as financial planning and analysis principles.
Tailor Your CV: Customise your CV to highlight relevant experience in Workday implementations, data analysis, and stakeholder collaboration. Use specific examples that demonstrate your expertise in planning models and analytics solutions.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for the role and how your skills align with the company's needs. Mention your experience with data accuracy and integrity, and how you can contribute to strategic decision-making.
Proofread Your Application: Before submitting, carefully proofread your application materials for any spelling or grammatical errors. A polished application reflects your attention to detail, which is crucial for the role.
How to prepare for a job interview at Maclean Moore Ltd
✨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.
✨Prepare for Data Analysis Questions
Since the role involves analysing data for strategic decision-making, brush up on your data analysis skills. Be ready to explain how you approach data visualisation and the tools you use to derive insights from complex datasets.
✨Emphasise Collaboration Skills
This position requires working closely with stakeholders. Prepare examples of how you've successfully collaborated in the past, particularly in defining requirements and delivering solutions that meet business needs.
✨Demonstrate Communication Skills
Strong communication is key for this role. Practice articulating your thoughts clearly and concisely, especially when discussing technical concepts. Consider how you can convey complex information in an understandable way to non-technical stakeholders.
