Associate - Data Analytics

The IT Data Analytics team is responsible for sourcing, processing, distributing data internally and externally. The team covers data needs across all aspects of investment analysis, portfolio management, back-office processing, investor reporting, and regulatory filings. Data Analytics team members collaborate closely with SMEs across Front Office, Backoffice, Investor Relations, Tax, Legal, Management Company in delivering data reporting and analytics technology solutions.

PFS is seeking an Associate, IT Data Analytics to join the firm's technology organization in Mumbai. This role is primarily analytics engineering-focused, with responsibility across data engineering, analytics modeling, business intelligence, and support for AI-enabled analytics use cases supporting HPS's Public & Private Credit, CLO, and Long/Short Credit investment platforms.

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 interpersonal 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

Our hybrid work model:

BlackRock's hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person - aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock.