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- Tasks: Lead business analysis for major data initiatives and deliver reusable data products.
- Company: Join M&G, a leader in regulated finance with a focus on data transformation.
- Benefits: Enjoy a competitive pension scheme and 38 days of annual leave.
- Other info: Work in a dynamic environment with opportunities for growth and development.
- Why this job: Make a real impact in financial services through large-scale data projects.
- Qualifications: Proven experience in data projects and strong stakeholder management skills.
The predicted salary is between 50000 - 65000 £ per year.
M&G is seeking a Senior Data Business Analyst to join a major Data Products transformation programme in Stirling. This role involves leading business analysis for large data initiatives, translating business needs into data requirements, and delivering reusable data products.
Candidates should have proven experience in large-scale data projects within financial services, strong stakeholder management skills, and the ability to operate in ambiguous environments.
Benefits include a competitive pension scheme and 38 days annual leave.
Senior Data Product Analyst - Regulated Finance in Stirling employer: M&G
Contact Detail:
M&G Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Product Analyst - Regulated Finance in Stirling
✨Tip Number 1
Network like a pro! Reach out to folks in the finance and data sectors on LinkedIn. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Prepare for those interviews by brushing up on your data analysis skills. Be ready to discuss how you've tackled large-scale projects and managed stakeholders in tricky situations.
✨Tip Number 3
Showcase your problem-solving skills! Think of examples where you've turned ambiguous situations into clear data requirements. This will impress potential employers.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are proactive and engaged. Plus, it gives you a better chance to stand out!
We think you need these skills to ace Senior Data Product Analyst - Regulated Finance in Stirling
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Senior Data Product Analyst. Highlight your experience with large-scale data projects in financial services and any relevant skills that match the job description.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're the perfect fit for this role. Share specific examples of how you've successfully managed stakeholders and navigated ambiguous environments in past projects.
Showcase Your Data Skills: In your application, don’t forget to mention any tools or methodologies you’ve used in data analysis. We want to see your technical prowess and how it aligns with our data transformation programme.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at M&G
✨Know Your Data Inside Out
Make sure you brush up on your knowledge of data products, especially in the context of financial services. Be prepared to discuss specific large-scale data projects you've worked on and how they relate to the role at M&G.
✨Stakeholder Management is Key
Since this role involves strong stakeholder management skills, think of examples where you've successfully navigated complex stakeholder relationships. Be ready to share how you’ve translated business needs into actionable data requirements.
✨Embrace Ambiguity
M&G is looking for someone who can thrive in ambiguous environments. Prepare to discuss times when you've faced uncertainty in a project and how you approached it. Show them that you can adapt and find clarity amidst chaos.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your interest in the data transformation programme. Inquire about the challenges they face or how success is measured in their data initiatives. This demonstrates your enthusiasm and strategic thinking.