Associate – Data Analytics

Overview

Associate, IT Data Analytics role within PFS (HPS/BlackRock) in Mumbai, focused on analytics engineering across data engineering, analytics modeling, business intelligence, and AI-enabled analytics for HPS's Public & Private Credit, CLO, and Long/Short Credit platforms.

What you'll 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.

What you'll need

• 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.
• 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.

Nice to have

• Exposure to cloud data platforms (Azure, Snowflake, or similar).
• Interest or exposure to AI-enabled analytics or advanced analytics.
• Financial services experience (credit or asset management preferred).
• 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).

Details

• Location: Mumbai, India.
• Shift timings: 2 - 11 PM.
• Hybrid work model: at least 4 days in the office per week, with up to 1 day working from home.