At a Glance
- Tasks: Build a cloud-based data warehouse and create dashboards using Power BI or Tableau.
- Company: Leading organisation in the insurance sector with a focus on innovation.
- Benefits: Hybrid work model, competitive pay, and opportunities for professional growth.
- Other info: Initial 6-month engagement with potential for extension.
- Why this job: Join a dynamic team and make an impact on important projects in the insurance industry.
- Qualifications: Experience with Workday modules, strong SQL skills, and excellent communication abilities.
The predicted salary is between 37800 - 46200 £ per year.
A leading organization in the insurance sector is seeking an experienced Business Data Analyst for a Workday HCM and Finance implementation project.
You will play a crucial role in building a cloud-based data warehouse, gathering data requirements, and creating dashboards using Power BI or Tableau.
The ideal candidate should have proven experience with Workday modules, strong SQL skills, and the ability to effectively communicate with stakeholders.
This is a hybrid position based in the UK with an initial 6-month engagement. #J-18808-Ljbffr
Data Analyst — Workday HCM & Finance Implementation (Hybrid) employer: ABC
As a leading organisation in the insurance sector, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to thrive. With a strong focus on professional development, we offer numerous growth opportunities and support for continuous learning, ensuring that you can advance your career while contributing to meaningful projects. Our hybrid working model allows for flexibility, making it an ideal environment for those seeking a balance between personal and professional life.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst — Workday HCM & Finance Implementation (Hybrid)
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like ABC before they're even advertised!
✨Show Off Your Skills With Projects
Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
✨Check Out Specialist Job Boards
For temp roles, hit up job boards dedicated to tech and data science, like Stack Overflow Jobs or DataJobs. These platforms often feature openings that you won’t find on general job sites, including contracts with companies like ABC.
✨Leverage University Resources
If you're currently at uni or recently graduated, tap into your school's career services. They often have connections with companies looking for temporary data science interns or contract workers, and they might even host job fairs with employers like ABC.
We think you need these skills to ace Data Analyst — Workday HCM & Finance Implementation (Hybrid)
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at ABC, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to ABC, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab ABC’s attention and show the tangible impact of your work.
How to prepare for a job interview at ABC
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at ABC.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at ABC.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at ABC.
