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- Tasks: Bridge business needs with data engineering and define clear product requirements.
- Company: Leading investment management firm with a focus on growth and collaboration.
- Benefits: Hybrid work model, continuous learning opportunities, and exposure across various business areas.
- Why this job: Join a dynamic team and make an impact in the world of data analytics.
- Qualifications: Strong analytical skills and experience with data pipelines and ETL processes.
- Other info: Great opportunity for career advancement in a supportive environment.
The predicted salary is between 36000 - 60000 £ per year.
A leading investment management firm is seeking a full-time Data Business Analyst in London to join their core Data team. The successful candidate will bridge business understanding with data engineering, defining clear data product requirements and collaborating with engineers. This role offers significant exposure across various business pillars, fostering a culture of growth and collaboration.
Candidates should have a strong analytical background and experience in data pipelines and ETL processes. The position is hybrid and encourages continuous learning.
Data Product Analyst (Hybrid, London) employer: Orbis Investment Management Limited
Contact Detail:
Orbis Investment Management Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Product Analyst (Hybrid, London)
✨Tip Number 1
Network like a pro! Reach out to folks in the investment management sector, especially those working with data. A friendly chat can open doors and give you insights that might just land you that Data Product Analyst role.
✨Tip Number 2
Show off your skills! Prepare a portfolio or case studies showcasing your experience with data pipelines and ETL processes. When you get the chance to chat with potential employers, let your work speak for itself.
✨Tip Number 3
Practice makes perfect! Get comfortable with common interview questions related to data analysis and product requirements. We recommend doing mock interviews with friends or using online platforms to boost your confidence.
✨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 are proactive about their job search!
We think you need these skills to ace Data Product Analyst (Hybrid, London)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Data Product Analyst role. Highlight your analytical background and any experience you have with data pipelines and ETL processes to catch our eye!
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about data and how you can bridge the gap between business and engineering. Share specific examples of your past work that demonstrate your ability to define clear data product requirements.
Showcase Your Collaboration Skills: Since this role involves working closely with engineers and various business pillars, make sure to mention any teamwork experiences. We love candidates who can foster a culture of growth and collaboration, so let us know how you've done this in the past!
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and we can’t wait to see your application come through!
How to prepare for a job interview at Orbis Investment Management Limited
✨Know Your Data Inside Out
Make sure you brush up on your knowledge of data pipelines and ETL processes. Be ready to discuss specific examples from your past experience where you've successfully managed data projects or collaborated with engineers. This will show that you understand the technical side of the role.
✨Understand the Business Context
Since this role bridges business understanding with data engineering, take some time to research the investment management firm. Familiarise yourself with their business model and how data plays a role in their decision-making process. This will help you articulate how you can add value to their team.
✨Prepare for Collaboration Questions
Expect questions about teamwork and collaboration, as this role emphasises working closely with engineers and other business pillars. Think of examples where you've successfully worked in a team setting, highlighting your communication skills and ability to foster a collaborative environment.
✨Show Your Passion for Continuous Learning
This position encourages continuous learning, so be prepared to discuss how you stay updated with industry trends and new technologies. Mention any relevant courses, certifications, or personal projects that demonstrate your commitment to professional growth in the data field.
