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- Tasks: Create scalable data workflows and enhance data quality for financial insights.
- Company: Bloomberg, a leader in data-driven technology and analytics.
- Benefits: Competitive salary, diverse workplace, and opportunities for professional growth.
- Why this job: Join a dynamic team and make an impact on financial data management.
- Qualifications: 4+ years in data management, strong SQL and Python skills required.
- Other info: Collaborative environment with a focus on innovation and career development.
The predicted salary is between 36000 - 60000 £ per year.
Bloomberg runs on data. Our products are fueled by powerful information. We combine data and context to paint the whole picture for our clients, around the clock – from around the world. In Data, we are responsible for delivering this data, news, and analytics through innovative technology—quickly and accurately. We apply problem-solving skills to identify workflow efficiencies and implement technology solutions to enhance our systems, products, and processes.
The Company Financials team provides our clients with fast and accurate market-moving data so they can stay on top of their game: broker estimates, financial filings, and any other dataset that is useful to understand financial performance in the markets. Our products run on intelligence and industry-specific insights provided by the industry teams. We combine financial modeling, industry expertise, data management, and technical skills to curate critical metrics and drive insights from our data.
We are dedicated to crafting a best-in-class financial analysis and modeling product while constantly looking to enhance and expand our existing offering through a deep understanding of the markets we operate in, the sectors we cover, and our clients' current and future needs.
As a Data Management Professional within the Foundational Support team, you will support the creation of scalable, high quality data workflows that underpin the delivery of accurate, fit-for-purpose datasets. Your work ensures that our foundational data processes not only meet accuracy and timeliness expectations but also evolve to support innovation, automation, and new commercial opportunities aligned with Bloomberg’s strategic goals.
You will play a pivotal role in validating end-to-end workflow orchestration, enhancing incident response and prevention frameworks, and embedding knowledge management and governance practices to strengthen data quality, transparency, and scalability across the Company Financials ecosystem.
You’ll need to have:
- 4+ years of professional experience in data quality management, or data governance
- Strong coding proficiency in SQL and Python for data analysis and workflow optimization idea generation
- Familiarity with ETL processes, data pipelines, and workflow design
- Experience with data visualization tools (Tableau, QlikSense, Power BI, or similar) to communicate quality insights
- Strong problem-solving skills and ability to thrive in a fast-paced environment
- Strong project management skills and ability to prioritize and adapt to tasks accordingly with a customer focused mentality
- Powerful collaboration skills to work across departments and regions, excellent written and verbal communication skills
- Strong analytical skills, attention to detail, and a solutions-oriented mindset
- Comfort working in a dynamic, evolving environment, balancing long-term strategy with immediate operational needs
We would love to see:
- Industry-recognized data management certifications (e.g., DAMA, CDMP, DCAM)
- Experience with company financials data and financial statements
- Hands-on knowledge of data governance and quality frameworks, including metadata management and regulatory considerations
- Knowledge of software testing and QA methodologies with experience in both manual and automating testing processes
- Familiarity with modern data infrastructure and architecture (APIs, pipelines, cloud platforms), with exposure to AI/ML or LLM-based enrichment solutions for anomaly detection and automation
- Experience using Bloomberg Terminal and Company Financials products
- Exposure to Agile methodologies
Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law. Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email amer_recruit@bloomberg.net
Senior Data Management Professional - Company Financials Foundational Support London, GBR Poste[...] employer: Bloomberg L.P
Contact Detail:
Bloomberg L.P Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Management Professional - Company Financials Foundational Support London, GBR Poste[...]
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry and let them know you're on the hunt for a Senior Data Management role. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Prepare for those interviews by brushing up on your SQL and Python skills. Be ready to showcase your problem-solving abilities with real-world examples. We want to see how you tackle data challenges head-on!
✨Tip Number 3
Don’t forget to research Bloomberg’s culture and values. Tailor your responses to reflect how your experience aligns with their mission. Show them you’re not just a fit for the role, but for the company too!
✨Tip Number 4
Apply through our website for the best chance at landing that dream job. It’s the most direct route to getting noticed by the hiring team. Plus, it shows you’re serious about joining us at Bloomberg!
We think you need these skills to ace Senior Data Management Professional - Company Financials Foundational Support London, GBR Poste[...]
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter to highlight your experience in data quality management and governance. We want to see how your skills align with the role, so don’t hold back on showcasing your SQL and Python prowess!
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled challenges in data workflows or project management. We love seeing candidates who can think on their feet and come up with innovative solutions!
Highlight Relevant Experience: If you’ve worked with financial data or have industry-recognised certifications, make sure to mention them! This will help us understand your background and how it fits into our team’s goals.
Apply Through Our Website: We encourage you to submit your application through our website for a smoother process. It’s the best way for us to keep track of your application and ensure it gets the attention it deserves!
How to prepare for a job interview at Bloomberg L.P
✨Know Your Data Inside Out
Make sure you’re well-versed in data quality management and governance. Brush up on your SQL and Python skills, as you'll likely be asked to demonstrate your coding proficiency. Familiarity with ETL processes and data pipelines will also give you an edge.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've identified workflow efficiencies or implemented technology solutions. Think of scenarios where your analytical skills made a difference, especially in fast-paced environments. This will highlight your ability to thrive under pressure.
✨Familiarise Yourself with Financials
Since the role focuses on company financials, it’s crucial to understand financial statements and metrics. If you have experience with financial data, be ready to share insights on how you’ve used this knowledge to drive data quality and transparency.
✨Communicate Effectively
Strong communication skills are key, so practice articulating your thoughts clearly. Be prepared to explain complex data concepts in simple terms, as you’ll need to collaborate across departments. Show that you can convey quality insights using data visualisation tools like Tableau or Power BI.
