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- Tasks: Lead initiatives to enhance query enrichment and collaborate across teams.
- Company: Global financial data and analytics firm with a focus on innovation.
- Benefits: Competitive salary, career growth, and a dynamic work environment.
- Why this job: Make a real impact in data management and analytics in a global setting.
- Qualifications: 3+ years in information management or data analytics, proficient in Python.
- Other info: Exciting opportunity for professional development in a fast-paced industry.
The predicted salary is between 48000 - 72000 £ per year.
A global financial data and analytics firm is seeking a Senior Data Management Professional to enhance their query enrichment capabilities. This role involves owning key initiatives, defining strategic evolution of annotation projects, and collaborating with various teams to ensure data products meet consumer needs.
The ideal candidate has at least 3 years of experience in information management or data analytics, technical proficiency in Python, and strong problem-solving skills. This full-time position is based in London.
Senior Data Product Owner: Query Enrichment in London employer: Bloomberg
Contact Detail:
Bloomberg Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Product Owner: Query Enrichment in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio or examples of your work, bring them along to interviews. It’s a great way to demonstrate your technical proficiency in Python and problem-solving abilities.
✨Tip Number 3
Prepare for those tricky questions! Think about how you’d tackle real-world problems related to query enrichment. We want to see your thought process and how you collaborate with teams.
✨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 Senior Data Product Owner: Query Enrichment in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in information management and data analytics. We want to see how your skills align with the role, so don’t be shy about showcasing your technical proficiency in Python!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for the Senior Data Product Owner role. Share specific examples of past projects where you’ve enhanced query enrichment or collaborated with teams.
Showcase Problem-Solving Skills: In your application, highlight instances where you’ve tackled complex problems. We love candidates who can think critically and come up with innovative solutions, so don’t hold back on sharing those success stories!
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’re considered for the role. Plus, it’s super easy – just follow the prompts!
How to prepare for a job interview at Bloomberg
✨Know Your Data Inside Out
Make sure you brush up on your knowledge of data management and analytics. Be prepared to discuss your experience with query enrichment and how you've tackled similar challenges in the past. This will show that you understand the role and can hit the ground running.
✨Show Off Your Python Skills
Since technical proficiency in Python is a must, be ready to demonstrate your coding skills. You might be asked to solve a problem or explain how you've used Python in previous projects. Practising some common data manipulation tasks beforehand could really help you shine.
✨Collaboration is Key
This role involves working with various teams, so be prepared to talk about your collaborative experiences. Think of examples where you successfully worked with others to achieve a common goal, especially in data-related projects. Highlighting your teamwork skills will show you're a great fit for their culture.
✨Problem-Solving Mindset
Expect to face some scenario-based questions that test your problem-solving abilities. Prepare by thinking through past challenges you've encountered in data management and how you resolved them. Being able to articulate your thought process will demonstrate your analytical skills and strategic thinking.
