Lead data stewardship for the Assets & Opportunity data domains within BlackRock Data Office, overseeing governance, data sourcing, and strategy to deliver trusted client-level data for global enterprise use.
Locations (2)
Princeton, New Jersey, United States
Atlanta, Georgia, United States
Compensation
For Princeton, NJ and Atlanta, GA Only the salary range for this position is USD$184,000.00 - USD$250,000.00 . Additionally, employees are eligible for an annual discretionary bonus, and benefits including healthcare, leave benefits, and retirement benefits.
Responsibilities
Set strategic direction for stewardship of the Assets & Opportunity pillar
Oversee data governance for AUM & Flows and Walletshare
Develop exception reporting to monitor data health
Partner with business to define and source data needed to address gaps
Stand up a centralized operational function with controls and support model
Requirements
Bachelor’s degree in Business, Finance, MIS, Computer Science, or a related discipline
Lead data stewardship for the Assets & Opportunity pillar, driving governance, sourcing, and analytics to support global enterprise data initiatives.
Locations (2)
Princeton, New Jersey, United States
Atlanta, Georgia, United States
Compensation
For Princeton, NJ and AT8 - 725 Ponce de Leon Ave NE, Atlanta Only the salary range for this position is USD$127,500.00 - USD$184,000.00 . Additionally, employees are eligible for an annual discretionary bonus, and benefits including healthcare, leave benefits, and retirement benefits.
Responsibilities
Drive day-to-day stewardship of the Assets & Opportunity pillar
Own data domain within AUM & Flows end to end
Execute data governance and build exception reporting
Source and validate data from third-party providers
Partner with engineering and product teams to enable data access
Requirements
Bachelor’s degree in Business, Finance, MIS, Computer Science, or a related discipline
Support data stewardship for the Assets & Opportunity data domains within the BlackRock Data Office (BDO), helping deliver a trusted client-level and business-specific view of assets under management (AUM), net new assets and client wallet data to the global enterprise.
Compensation
For Princeton, NJ Only the salary range for this position is USD$95,000.00 - USD$127,500.00 . Additionally, employees are eligible for an annual discretionary bonus, and benefits including healthcare, leave benefits, and retirement benefits.
Responsibilities
Support the domain steward in executing data stewardship for AUM & Flows and/or Walletshare, including maintaining business definitions, critical data elements, data quality rules and supporting documentation
Monitor and reconcile AUM and flows data, investigate attribution gaps, discrepancies and breaks
Support the onboarding, mapping and validation of third-party and competitor wallet datasets to client, entity and product identifiers
Run data health assessments and exception reporting
Coordinate with third-party data vendors, distributors and home offices on data delivery, file issues and changes
The Macro Space & Real Estate Planning Analyst provides integrated support for the Space Planning, Assortment Planning, & Real Estate openings. The Analyst maintains assortments and their associated planograms, drives setup of inventory in new & remodel stores, recommends merchandise presentation changes that improve the productivity of our selling space and assortment, and conducts reporting and analysis.
Responsibilities
Planogram creation, management & execution
Recommendations for improved sku & space productivity
Collaborate closely with cross-functional Real Estate team, Forecasting, Inventory, Distribution Center, and Store Operations to mitigate risk, improve execution, & lead processes supporting the setup of new stores or stores undergoing remodeling
Reporting development (Snowflake/MSI, SQL, VBA, Python, Access, dashboards, ad hoc BBW tools)
Provide & execute analytics, ad-hoc analysis, reporting, and workflow support tied to Space Planning and Inventory systems
Level 2 application support engineer to support production trading technology, including order management systems (OMS), execution management systems (EMS), and related front office applications.
Responsibilities
Provide Level 2 support for production trading applications
Troubleshoot OMS, EMS, and front office workflows
Investigate incidents using application logs, monitoring tools, database queries, and Linux utilities
Automate routine processes and procedures using Python
Leverage analytic and technical skills to innovate, build, and maintain well-managed data solutions and capabilities to tackle business problems, focusing on Innovation, Business Intelligence, and Data Management.
Locations (3)
McLean, Virginia, United States
Richmond, Virginia, United States
New York, New York, United States
Compensation
McLean, VA: $131,300 - $149,800 for Principal Data Analyst
Richmond, VA: $119,400 - $136,200 for Principal Data Analyst
New York, NY: $143,200 - $163,500 for Principal Data Analyst
Responsibilities
Mine complex, voluminous, and different varieties of data sources and platforms using Open Source/Digital technologies
Build well-managed data solutions, tools, and capabilities to enable self-service frameworks for data consumers
Partner with the business to provide consultancy and translate business needs to design and develop tools, techniques, metrics, and dashboards for insights and data visualization
Design, implementation and test of data pipelines with the goal of enabling business analysis, capable to implement near real-time scenarios, and development of Event-driven solution.
Responsibilities
Coordination with business side
Design, implementation and test of data pipelines with the goal of enabling business analysis
Capable to implement near real-time scenarios
Development of Event-driven solution
Requirements
bachelor's degree in software engineering
bachelor's degree in Computer Engineering
Nice to have: Braze integration with Snowflake
Nice to have: Microsoft BI stack (SSIS/SSAS/SSRS) migration to Snowflake
Nice to have: Preparing datasets for data science / ML (RFM, churn, recommendation models)
Configure and support packaged or SaaS applications to adapt features, manage releases, and ensure system stability using standard tools, APIs, and low-code platforms.
Responsibilities
Define data requirements and design structure for application
Model data architecture and plan efficient storage
Ensure seamless integration across components
Collaborate with stakeholders to align data strategies
Drive analysis that provides meaningful insights on business strategies
Drive understanding and adherence to data quality management principles including metadata, lineage, and business definitions
Requirements
Bachelor’s Degree in quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science or a related quantitative field)
Master’s Degree in a Science, Technology, Engineering, Mathematics discipline
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