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- Tasks: Enhance data flow across People, Payroll, and Finance domains by building data pipelines.
- Company: Join a leading sports organisation in Manchester with a passion for innovation.
- Benefits: Enjoy 26 days of leave, private healthcare, and a bonus programme.
- Other info: Dynamic work environment with opportunities for growth and development.
- Why this job: Make a real impact on data integration in the exciting world of sports.
- Qualifications: Experience in data integration, SQL, Python, and strong analytical skills.
The predicted salary is between 40000 - 50000 £ per year.
A leading sports organization in Manchester seeks a People & Finance Data Integration Analyst to enhance data flow across People, Payroll, and Finance domains. Your role involves building data pipelines, ensuring data quality, and contributing to master data governance.
Ideal candidates should have experience in data integration, SQL, and Python, and possess strong analytical skills.
Benefits include:
- 26 days of leave
- Private healthcare
- Bonus program
People & Finance Data Integration Specialist in Manchester employer: City Football Group
Contact Detail:
City Football Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land People & Finance Data Integration Specialist in Manchester
✨Tip Number 1
Network like a pro! Reach out to people in the sports industry, especially those working in data roles. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data integration projects, especially using SQL and Python. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data integration scenarios. Be ready to discuss how you've tackled data quality issues or built pipelines in the past. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for you, and applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace People & Finance Data Integration Specialist in Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data integration, SQL, and Python. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about enhancing data flow in the People and Finance domains. Let us know how your analytical skills can contribute to our team.
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled data quality issues or built effective data pipelines in the past. We love seeing candidates who can think critically and solve problems creatively!
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 don’t miss out on any important updates from our team!
How to prepare for a job interview at City Football Group
✨Know Your Data Integration Basics
Make sure you brush up on your data integration concepts, especially around People, Payroll, and Finance domains. Be ready to discuss how you've built data pipelines in the past and the tools you've used, like SQL and Python.
✨Showcase Your Analytical Skills
Prepare examples that highlight your analytical skills. Think of specific situations where you solved complex data issues or improved data quality. This will demonstrate your ability to contribute to master data governance effectively.
✨Research the Organisation
Familiarise yourself with the sports organisation's values and recent projects. Understanding their culture and goals will help you tailor your responses and show that you're genuinely interested in the role.
✨Prepare Questions for Them
Have a few thoughtful questions ready to ask at the end of the interview. Inquire about their current data challenges or how they envision the role evolving. This shows your enthusiasm and helps you gauge if it's the right fit for you.