At a Glance
- Tasks: Support Workday HCM and Finance implementation by gathering data requirements and creating insightful reports.
- Company: Leading organisation in the insurance sector with a focus on transformation.
- Benefits: Hybrid work model, competitive pay, and opportunities for professional growth.
- Other info: Immediate start available for a 6-month engagement.
- Why this job: Join a dynamic team and turn data into impactful insights in a cloud-based environment.
- Qualifications: Experience with Workday HCM, strong SQL skills, and proficiency in Power BI/Tableau.
The predicted salary is between 36000 - 60000 £ per year.
An exciting opportunity for an experienced Business Data Analyst to support a major Workday HCM and Finance implementation and transformation within a leading organisation in the insurance sector. This role will play a key part in building a new cloud-based data warehouse and delivering high-value reporting and insights.
Key Responsibilities:- Gather and own data requirements for HCM and Finance reporting.
- Data mapping, map source to target, and ensure integrity.
- Create dashboards and reports using Power BI or Tableau.
- Support Workday module configuration and optimisation.
- Collaborate with IT to identify and document integration points with Workday and other systems.
- Ensure compliance, data governance, and accuracy.
- Support implementation testing, rollout, and user adoption.
- Proven experience with Workday HCM and Finance modules.
- Strong data analysis and SQL skills.
- Experience with Power BI/Tableau and data modelling.
- Familiarity with Workday Studio/EIB for integrations.
- Insurance or financial services background preferred.
- Excellent stakeholder communication and documentation skills.
Ideal for candidates who enjoy turning data into meaningful insights in a dynamic, transformation-focused environment. We anticipate that consultants would consider themselves as outside IR35. Immediate Start preferred. Initial 6 month engagement.
Business Data Analyst - Workday HCM & Finance Implementation in London employer: ABC
Join a leading organisation in the insurance sector as a Business Data Analyst, where you will be part of a dynamic team driving transformation through innovative Workday HCM and Finance implementations. Our hybrid work culture promotes flexibility and collaboration, while our commitment to employee growth ensures you have access to continuous learning opportunities and career advancement. With a focus on data integrity and impactful insights, you'll find meaningful and rewarding work in an environment that values your contributions.
StudySmarter Expert Advice🤫
We think this is how you could land Business Data Analyst - Workday HCM & Finance Implementation in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the insurance and finance 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 involving Workday HCM and Finance. Use platforms like GitHub or even a personal website. This gives us a chance to see your work in action and how you turn data into insights.
✨Tip Number 3
Prepare for interviews by practising common questions related to data analysis and Workday implementations. We recommend doing mock interviews with friends or using online resources. The more comfortable you are, the better you’ll perform when it counts!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Business Data Analyst - Workday HCM & Finance Implementation in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Workday HCM and Finance modules. We want to see how your skills in data analysis and SQL can shine through, so don’t hold back on showcasing relevant projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to tell us why you’re the perfect fit for this role. Share specific examples of how you've turned data into insights and how you’ve collaborated with stakeholders in the past.
Showcase Your Technical Skills:Don’t forget to mention your experience with Power BI or Tableau! We’re keen to see how you’ve created dashboards and reports that have made an impact in previous roles.
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 this exciting opportunity in our dynamic team!
How to prepare for a job interview at ABC
✨Know Your Workday Inside Out
Make sure you brush up on your Workday HCM and Finance knowledge. Be ready to discuss specific modules you've worked with and how they relate to the role. This shows you're not just familiar with the system, but that you can leverage it effectively in a business context.
✨Showcase Your Data Skills
Prepare to demonstrate your data analysis skills, especially with SQL and tools like Power BI or Tableau. Bring examples of dashboards or reports you've created in the past, and be ready to explain the insights they provided. This will highlight your ability to turn data into actionable insights.
✨Communicate Clearly with Stakeholders
Since this role involves collaboration with various stakeholders, practice articulating your thoughts clearly. Think of examples where you've successfully communicated complex data findings to non-technical audiences. This will show that you can bridge the gap between data and decision-making.
✨Understand Compliance and Data Governance
Familiarise yourself with compliance and data governance principles relevant to the insurance sector. Be prepared to discuss how you've ensured data integrity and compliance in previous roles. This will demonstrate your commitment to maintaining high standards in data management.
