Job Overview
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Job Description
Data Quality Analyst, Enterprise Data at Bloomberg
Business Area
Product
Location
New York
About Bloomberg Data Quality Analytics
We are Bloomberg Data Quality Analytics - fast paced, innovative and expanding! We partner closely with our clients, taking time to understand their unique businesses and individual data and financial technology (FinTech) needs. Our endless selection of datasets, covering all asset types, with multiple delivery technologies and flexible scheduling enables our clients to get exactly the data they need, when they need it, in the format they prefer. Put simply, our award-winning data contributes to the efficiency and transparency of the capital markets.
The Opportunity
We are looking for a Data Quality Analyst, Enterprise Data to closely interact and work with various stakeholders to be the gatekeeper and ensure the data quality for product development, launch and enhancement. You will use your quantitative skills, knowledge of finance, and technical skills to conduct data analysis for our most innovative products. This includes, but is not limited to reference & pricing, company fundamentals, sustainable finance solutions, risk & investment analytics products and other Bloomberg Data License products.
We’ll Trust You To
- Perform data analysis on a large scale of datasets
- Prepare exploratory data analysis including statistical and visual summaries, assess data and product quality, identify product weakness, and propose potential enhancements.
- Communicate results to product managers and software developers
- Collaborate with Product, Engineering and Sales teams on product delivery, task prioritization and product roadmap
- Answer client questions and address client feedback in product enhancements/bug fixes
- Conduct product usage analysis to improve data product offerings
- Contribute to scaling team activities through automation like monitoring daily production data generation.
You’ll Need To Have
- 3+ years of experience working in analytical fields such as data science, quantitative analysis, data visualization, data mining, anomaly detection and data validation
- Bachelor's or Master’s degree in a quantitative discipline (Financial Engineering, Statistics, Computer Science, Finance, Engineering, etc)
- Financial knowledge in different asset classes like equities, fixed income, mortgages, munis, futures, options and ect.
- Attention to data integrity
- Programming skills in Python and SQL
- Statistics and mathematical knowledge to perform quantitative analysis
- Experience gathering, matching, and pre-processing large data sets from varied sources and of different characteristics
- Working experience with clients, business managers or product managers in identifying their needs and taking proactive steps to effectively communicate project processes.
Key skills/competency
- Data analysis
- Quantitative analysis
- SQL
- Python
- Financial markets
- Data quality
- Product development
- Anomaly detection
- Data visualization
- Stakeholder collaboration
How to Get Hired at Bloomberg
- Research Bloomberg's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
- Tailor your resume: Customize your resume and cover letter to highlight experience in data quality, financial data, Python, and SQL, aligning with the Data Quality Analyst, Enterprise Data role requirements.
- Showcase quantitative skills: Prepare to demonstrate your analytical abilities, statistical knowledge, and experience with large datasets through portfolio projects or detailed examples.
- Understand financial markets: Deepen your knowledge of various asset classes (equities, fixed income) and how financial data impacts capital markets, essential for a Data Quality Analyst, Enterprise Data.
- Network strategically: Connect with current Bloomberg employees on LinkedIn to gain insights and potentially secure referrals, enhancing your application visibility.
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