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- Tasks: Lead strategy and development of classification datasets to maximise their value.
- Company: Leading financial data provider based in London.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Influence innovative data solutions and drive impactful decisions for clients.
- Qualifications: Over 4 years of experience in financial data and strong product management skills.
The predicted salary is between 36000 - 60000 £ per year.
A leading financial data provider in London is seeking a Data Product Owner to lead the strategy and development of their classification datasets. This role involves maximizing dataset value, enhancing delivery mechanisms, and ensuring data quality.
Ideal candidates will have over 4 years of experience in financial data and proven product management skills in a cross-functional environment. Join us to influence innovative data solutions for clients and drive impactful decisions.
Data Product Owner — Private Company Classifications in England employer: Bloomberg
Contact Detail:
Bloomberg Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Product Owner — Private Company Classifications in England
✨Tip Number 1
Network like a pro! Reach out to people in the financial data sector on LinkedIn or at industry events. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Showcase your expertise! Prepare a portfolio that highlights your previous projects and successes in product management. This will help you stand out and demonstrate your ability to drive impactful decisions.
✨Tip Number 3
Practice makes perfect! Get ready for interviews by rehearsing common questions related to data product ownership and financial datasets. We recommend doing mock interviews with friends or using online platforms.
✨Tip Number 4
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 Owner — Private Company Classifications in England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in financial data and product management. 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 the Data Product Owner role and how you can contribute to our mission. Keep it engaging and personal – we love to see your personality!
Showcase Your Cross-Functional Experience: Since this role involves working across different teams, highlight any experience you have in cross-functional environments. We’re looking for someone who can collaborate effectively, so share examples of how you’ve done this in the past.
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’re well-versed in the financial data landscape. Brush up on classification datasets and be ready to discuss how you’ve maximised dataset value in your previous roles. This will show that you understand the core of what the company does.
✨Showcase Your Product Management Skills
Prepare examples that highlight your product management experience, especially in cross-functional teams. Think about specific projects where you led strategy and development, and be ready to explain your approach and the outcomes.
✨Emphasise Data Quality Assurance
Since ensuring data quality is key for this role, come prepared with strategies or methodologies you’ve used to maintain high data standards. Discuss any tools or processes you’ve implemented that improved data integrity.
✨Be Ready to Discuss Innovative Solutions
Think about innovative data solutions you’ve developed or contributed to in the past. Be prepared to share how these solutions influenced decision-making and added value for clients, as this aligns perfectly with the company’s goals.
