Description
The IT Data Analytics team at BlackRock's private financing solutions business unit, PFS, is seeking an Associate, IT Data Analytics to join their technology organization in Mumbai. The role is primarily analytics engineering-focused, with responsibilities across data engineering, analytics modeling, business intelligence, and support for AI-enabled analytics use cases.
The Associate will work closely with senior analytics engineers, business users, and offshore/onshore development teams to build analytics-ready datasets, dashboards, and reporting solutions used by Portfolio Management, Risk, Operations, Finance, and Investor Relations.
Responsibilities:
- 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 and Qualifications Required:
- 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.
Benefits:
- Strong retirement plan
- Tuition reimbursement
- Comprehensive healthcare
- Support for working parents
- Flexible Time Off (FTO)
Hybrid work model:
- Employees are required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week.