Data Quality Analyst - Enterprise Data Location: New York Business Area: Product Ref: 10048632
Description & Requirements
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.
We are looking for a Product Analyst in 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
You will be responsible for:
• Performing data analysis on a large scale of datasets • Preparing exploratory data analysis, including statistical and visual summaries • Assessing data and product quality, identifying product weaknesses, and proposing potential enhancements • Communicating results to product managers and software developers • Collaborating with Product Engineering and Sales teams on product delivery, task prioritization, and product roadmap • Answering client questions and addressing client feedback in product enhancements and bug fixes • Conducting product usage analysis to improve data product offerings • Contributing to scaling team activities through automation, such as monitoring daily production data generation
You will 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 • Bachelors or Masters degree in a quantitative discipline, such as Financial Engineering, Statistics, Computer Science, Finance, Engineering, etc. • Financial knowledge in different asset classes, like equities, fixed income, mortgages, munis, futures, options, etc. • 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
If this sounds like you, please apply.
Salary Range: $110,000 - $225,000 USD Annually
Benefits Bonus
The referenced salary range is based on the Companys good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education, training, and skill level.
We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include:
• Merit increases • Incentive compensation • Exempt roles only paid holidays • Paid time off • Medical, dental, vision, short, and long-term disability benefits • 401k match • Life insurance • Various wellness programs
The Company does not provide benefits directly to contingent workers, contractors, and interns.
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