Analyst, Data Management
About this role
high-quality data, research, and technology solutions
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
- 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
- Companies Expansion
- Identify and onboard new private market companies
- Establish:
- Investor relationships
- Fund linkages
- Ownership networks
- Ensure relevance within the broader
private markets ecosystem
- 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
- 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.
• 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
Not included in the source posting: what you'll do, benefits.
Skills
Who can apply
The employer didn't state any visa, work authorization, citizenship or clearance requirements in this posting. Confirm with the employer before applying.
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