As a member the Global Index business, the Senior Data Quality Analyst will be responsible for managing in-bound data utilized in index research, creation, determination and calculation. Analysts also monitor out-bound data distributed via Nasdaq channels including real-time, static, pricing and reference data. The Data Analyst team will develop and operate systems to ensure accuracy and validity of data from internal and external sources while also managing key data relationships. The work is in a technical environment focused on database management and reconciliation and requires knowledge of both financial datasets and technical handling, processing and storage of disparate datasets.
Nasdaq Global Information Services leverages reliable, scalable technology and robust distribution channels to provide comprehensive benchmarks and market data solutions across asset classes and regions. We equip financial institutions and investors with essential market transparency to make informed decisions. Our Global Data Products provide innovative real-time and historical market data as well as analytic data solutions designed to meet new industry challenges. Nasdaq Global Indexes support financial product sponsors across a wide-spectrum of investable products and asset managers to measure risk and performance. Our diverse families include the Nasdaq-100, Dividend Achievers, Global Equity, Dorsey Wright, Fixed Income, AlphaDEX, Nordic and Commodity Indexes, all based upon rules-based, transparent methodologies.
Nasdaq’s Global Indexes business is built on data extraction, manipulation, cleaning and developing. The Index business is reliant upon internal and external data sources that are used in the design, back-testing, rebalancing and calculation of over 45,000 indexes across equity, fixed income, commodity and alternative asset classes. The data input and validation effort is the backbone of the Index business to ensure reliable benchmark creation and administration.
Perform and develop a variety of business and data analyst functions to validate data used by Nasdaq Global Indexes for index research, design and calculation
Run and resolve tests designed to find abnormalities within data to quickly refine both historic and recent data focused on financial products including prices, corporate actions, classifications, and many others
Work with third party data vendors to maintain systematic data delivery into Nasdaq’s control framework
Uncover data product enhancement opportunities; prepare requirements and business cases
Define requirements for overarching data management platform; work closely with technology teams to prioritize and implement solutions
Create and maintain data product documentation (e.g. requirements, product specs, playbooks)
Manage project timelines and facilitate the day-to-day operational aspects of the program
Develop and maintain metrics to measure the data quality of our products
BA/BS in Business, Finance, Math, Statistics, or Computer Science and 2 years of experience in a professional environment.
Strong critical thinking and problem solving skills to dissect a problem in order to provide clear and concise explanations to clients/stakeholders.
Prior technical and financial experience with goal of further developing financial markets knowledge
Strong team-working skills for working with various internal stakeholders.
Support business decision with ad hoc analysis as needed.
Enjoy working in fast paced environment
Proactively gains technical knowledge by educational workshops; reviewing publications, establishing personal networks, participating in technical societies.
Experience with large datasets and database management through SQL, R, Python and other statistical software languages
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