At a Glance
- Tasks: Analyse data to meet business needs and ensure quality across teams.
- Company: Dynamic financial services firm based in Scotland.
- Benefits: Comprehensive pension scheme, flexible leave, and a supportive work environment.
- Why this job: Join a fast-paced team and make a real impact with your data skills.
- Qualifications: Strong data analysis skills and effective communication with stakeholders.
- Other info: Exciting opportunities for career growth in a hybrid role.
The predicted salary is between 36000 - 60000 £ per year.
A financial services firm in Scotland is seeking a Manager with strong data analysis skills to bridge business needs and technology solutions. You will validate business requirements, work closely with stakeholders to ensure alignment across business groups, and lead data quality assessments. This hybrid role requires hands-on data analysis expertise and the ability to communicate effectively with diverse stakeholders, making it crucial for success in a fast-paced environment. Significant benefits such as a comprehensive pension scheme and flexible leave are offered.
Hybrid Data & Business Analyst - Real Estate Data Product in Edinburgh employer: Prudential Distribution
Contact Detail:
Prudential Distribution Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Hybrid Data & Business Analyst - Real Estate Data Product in Edinburgh
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those working in data analysis or real estate. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Prepare for interviews by practising common questions related to data analysis and stakeholder communication. We recommend role-playing with a friend to boost your confidence and refine your answers.
✨Tip Number 3
Showcase your skills through a portfolio! If you’ve worked on relevant projects, gather them together to demonstrate your hands-on data analysis expertise. This can really set you apart from other candidates.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take that extra step to connect with us directly.
We think you need these skills to ace Hybrid Data & Business Analyst - Real Estate Data Product in Edinburgh
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the job description. Highlight your data analysis skills and any experience you have in bridging business needs with tech solutions. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're the perfect fit for this hybrid role. Share specific examples of how you've successfully communicated with stakeholders and led data quality assessments in the past.
Showcase Your Data Skills: In your application, don’t just mention your data analysis expertise—show it! Include any relevant tools or methodologies you’ve used, and if possible, share outcomes from your previous projects that demonstrate your impact.
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. Plus, we love seeing applications come directly from our site!
How to prepare for a job interview at Prudential Distribution
✨Know Your Data
Make sure you brush up on your data analysis skills before the interview. Be prepared to discuss specific tools and methodologies you've used in past projects, especially those relevant to real estate data. This will show that you have the hands-on expertise they’re looking for.
✨Understand the Business Needs
Take some time to research the financial services firm and its business model. Understand how data analysis can drive their success and be ready to share insights on how you can bridge the gap between business needs and technology solutions. This will demonstrate your proactive approach.
✨Communicate Clearly
Since this role involves working with diverse stakeholders, practice articulating complex data concepts in simple terms. Prepare examples of how you've successfully communicated data findings to non-technical audiences in the past. This will highlight your ability to connect with various teams.
✨Prepare for Scenario Questions
Expect scenario-based questions that assess your problem-solving skills and ability to lead data quality assessments. Think of specific situations where you’ve had to validate business requirements or resolve conflicts between stakeholders. Having these examples ready will help you shine during the interview.