Associate - Data Analytics

About the team

Responsibilities

• Specific responsibilities will include but not be limited to the following:
• 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.
• Shift Timings: 2 - 11 PM
• Our benefits To help you stay energized, engaged and inspired, we offer a wide range of benefits including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.
• 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.
• Guidance on AI use for candidates
• At BlackRock, AI has long been part of how we work – enhancing decision-making, improving operations, and helping us deliver better outcomes for clients. We encourage candidates to use AI thoughtfully to learn, prepare, and work more effectively; but during our interview process, we want to focus on getting to know you through your own experiences, thinking, and judgment. To support you, we’ve provided guidance on when and how to use AI during our hiring process so you can approach each step with confidence and showcase your best self.

About BlackRock