Analyst, Data Management

About this role

About Preqin (A BlackRock Company) Preqin, part of BlackRock, is a global leader in alternative assets data and intelligence. Preqin is at the forefront of delivering high-quality data, research, and technology solutions that power better investment decisions.

The Company Intelligence (CI) team is central to this mission — transforming fragmented market signals into structured, decision-ready intelligence across companies, deals, and ownership networks.

About the role We are hiring a Research Analyst to help evolve Company Intelligence into a true intelligence capability.

This role operates at the intersection of:

• Research & analysis

• Private markets domain expertise

• AI-enabled workflows

You will work on complex company-level intelligence, including M&A activity, ownership structures, deal events and investment relationships.

Responsibilities

Research & Intelligence Development

• Conduct deep secondary market research

• Build structured intelligence across:

  • Company profiles
  • Ownership relationships
  • Investments and deals
  • Valuations and corporate events

2. Complex Deal & Ownership Analysis

• Interpret:

  • M&A transactions
  • Investment rounds
  • Ownership changes
  • Corporate restructuring

• Apply judgement under ambiguity, including:

  • Conflicting information across sources
  • Partial or incomplete disclosures

3. Companies Expansion

• Identify and onboard new private market companies

• Establish:

  • Investor relationships
  • Fund linkages
  • Ownership networks

• Ensure relevance within the broader private markets ecosystem

4. AI-Enabled Research & Productivity

• Use:

  • Copilot and research agents
  • AI-assisted discovery tools
  • Internal knowledge platforms

• Drive:

  • Faster research cycles
  • Better source comparison
  • Improved productivity

5. Data Quality, Audit & Collaboration

• Resolve:

  • Data inconsistencies
  • Coverage gaps
  • Conflicting records

• Maintain:

  • Data Quality, Data Validation and Final outputs.
  • Evidence-backed documentation

• Collaborate with:

  • Global Data, Product, and Engineering teams

Qualifications

Education

• Post Graduate or BTech with excellent academic record.

Experience

• Minimum 18 months of relevant experience, such as:

  • Research
  • Financial/market data
  • Private markets / deals / ownership
  • Business intelligence Core Capabilities

• Strong primary-source research skills

• Ability to interpret:

  • Structured + unstructured data and announcements
  • Ambiguous and conflicting information

• Understanding of:

  • Private markets ecosystem
  • Deal lifecycle and ownership structures

Tools & Technical Skills

• Excel, Office 365, SharePoint

• SQL / Python (preferred)

• Exposure to:

  • AI-assisted research tools
  • Prompt-driven workflows

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

At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their children’s educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress.

This mission would not be possible without our smartest investment – the one we make in our employees. It’s why we’re dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive.

To learn more about BlackRock, please visit Careers.BlackRock.com. We also encourage you to get to know us on LinkedIn, Instagram, YouTube, X, and TikTok.

BlackRock is proud to be an Equal Opportunity Employer. We evaluate qualified applicants without regard to age, disability, family status, gender identity, race, religion, sex, sexual orientation and other protected attributes at law.