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BlackRock is hiring for Associate, AUM & Revenue Analytics - Apply Now!

BlackRock is Hiring for Associate, AUM & Revenue Analytics!

Do you have a strong analytical mind and a passion for finance?

BlackRock is seeking a talented Associate, AUM & Revenue Analytics to join its team in Gurgaon, India. This is an exciting opportunity to play a key role in supporting BlackRock's mission to help people achieve financial well-being.


  • Conduct research and document reporting processes, streamlining procedures for efficiency.
  • Gain in-depth understanding of NNBF processes and policies, ensuring adherence.
  • Build strong relationships with internal and external partners to strengthen the team's knowledge base.
  • Support weekly and monthly production, ensuring accuracy and adhering to governance frameworks.
  • Contribute to the development of metrics and frameworks for managing AUM, Flows, Revenue, and NNBF.
  • Assist with onboarding and reporting for complex assignments, collaborating with colleagues across various business units.
  • Provide oversight and guidance on data and system integrations and migrations.
  • Identify opportunities to improve current processes and drive implementation.


  • Bachelor's/Master's degree or MBA
  • Strong analytical, innovative, and organizational skills with exceptional attention to detail.
  • Process-oriented mindset with a focus on controls and risk mitigation.
  • Ability to manage deadlines and maintain high-quality work.
  • Strong teamwork and interpersonal skills.
  • Self-motivated, enthusiastic, and intellectually curious with a desire to learn.

Preferred Skills:

  • Understanding of investment processes across various product structures.
  • Excellent written and verbal communication skills.
  • Strong prioritization and influencing skills.
  • Proven ability to develop strong partnerships.
  • Proficiency in Microsoft Excel, with VBA experience a plus. Familiarity with TM1 or similar tools is a benefit.
  • Knowledge of finance, accounting, financial reporting, operations, and data mining (or relevant experience).

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