
Associate - Data Analytics
BlackRock · Posted Oct 7
Investment management, asset management, risk analytics, and wealth services
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About the role
The IT Data Analytics team is responsible for sourcing, processing, and distributing data internally and externally across investment analysis, portfolio management, back-office processing, investor reporting, and regulatory filings. The role sits in the PFS technology organization and is primarily analytics engineering–focused, covering data engineering, analytics modeling, business intelligence, and AI-enabled analytics use cases for Public & Private Credit, CLO, and Long/Short Credit platforms. The Associate will work with senior analytics engineers, business users, and offshore/onshore development teams to build analytics-ready datasets, dashboards, and reporting solutions for Portfolio Management, Risk, Operations, Finance, and Investor Relations.
What you will do
- Build and maintain data transformations, curated datasets, and analytics‑ready tables used for reporting and analysis.
- Develop and enhance dashboards and reports using Sigma, Power BI or similar BI platforms.
- Support semantic modeling, metric definitions, and standardized analytics outputs.
- Assist with integrating third‑party data sources into analytics workflows.
- Support AI‑enabled analytics by preparing high‑quality, analytics‑ready data inputs.
- Assist with incorporating AI‑driven insights or outputs into dashboards and reporting workflows.
- Learn and apply best practices around data quality, explainability, and governance for AI use cases.
- Work with business users to understand reporting needs and translate them into technical requirements.
- Support ad‑hoc analysis and data validation requests.
Skills used in this role
What the employer is looking for
- 5+ years of relevant experience in data analytics, analytics engineering, BI, or data engineering.
- Strong SQL skills and experience working with analytical datasets.
- Hands‑on experience with BI tools such as Power BI, Tableau, or Qlik.
- Exposure to cloud data platforms (Azure, Snowflake, or similar) is a plus.
- Interest or exposure to AI‑enabled analytics or advanced analytics is a strong plus.
- Financial services experience (credit or asset management preferred) is a plus.
- Strong written and verbal communication abilities and inter-personal skills
- Highest degree of business ethics and professionalism
- Ability to perform business analysis, as well as manage and maintain various user relationships
- Bachelor’s or master’s degree in computer science, Engineering, or related field coupled with an MBA from a tier I (IIT / NIT / BITS / equivalent) or (IIM / ISB / XLRI / equivalent) is preferred.
- Shift Timings: 2 - 11 PM
Benefits and support
- strong retirement plan
- tuition reimbursement
- comprehensive healthcare
- support for working parents
- Flexible Time Off (FTO)
About BlackRock
BlackRock, Inc. is an American multinational investment management corporation and the world's largest asset manager. The firm provides institutional and individual clients with a broad range of investment, advisory, and risk management products, including its proprietary Aladdin financial technology platform. Headquartered in New York City, BlackRock manages trillions in assets across global equity, fixed income, alternative investments, and iShares exchange-traded funds (ETFs).
- Industry
- Investment Management
- Company size
- 24900 employees
- Founded
- 1988-03-09
- Location
- New York, New York, USA
- Funding stage
- Public Company
Leadership
Chairman and Chief Executive Officer
President and Director
Chief Financial Officer and Global Head of Corporate Strategy
Chief Operating Officer
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