Senior Finance Associate - Global Private Equity Analytics

Bain Capital • Boston, MA

1d

About The Position

Global Private Equity Analytics sits at the intersection of Finance, Operations, IT, Investor Relations, and Capital Markets. The team builds metrics, tools, and data products that support decision-making across Bain Capital, including Power BI and Excel reporting and enterprise applications built on a central data lake.

The Senior Finance Associate will connect raw financial and operational data with LPs, deal teams, senior leadership, and Investor Relations. The role combines delivery against existing processes with improving them. The associate will support fundraising and LP engagement by providing accurate, timely data and analysis; identify manual or error-prone workflows and develop tools to make analytics faster and more automated; contribute to enterprise applications using agentic coding tools; and work with Data Governance to maintain an interpretable, documented data lake that stakeholders can trust.

The role works cross-functionally with Finance, Investor Relations, Capital Markets, IT, Data Governance, and Investment Professionals. Success includes becoming independently capable of handling standard LP data requests within the first few months and, within the first year, shipping a meaningful process improvement or tool and contributing to a cross-functional data initiative.

Requirements

• 2–6 years of experience.
• A fund accounting or similar accounting/finance background, with interest in moving into data, analytics, and AI-driven work.
• Strong work ethic and curiosity about why work is being done, not just how to execute it.
• Proactive approach to work.
• Comfort with ambiguity and ability to own problems end-to-end while acknowledging knowledge gaps.
• Strong attention to detail.
• Clear communication skills, including explaining technical and financial logic to technical and non-technical audiences.

Nice To Haves

• Exposure to private equity, alternative assets, or fund/partnership accounting.
• CPA or CFA designation, whether active, inactive, or in progress.
• Prior public accounting experience.
• Experience with SQL, Python, DAX/Power BI, or other data or business intelligence tools.
• Experience with source-system data connections or enterprise data lakes or warehouses.
• Interest in or exposure to AI-assisted or agentic coding workflows.

Responsibilities

• Deliver accurate and timely data and analysis for fundraising and LP engagement, including bespoke investor-request deliverables.
• Identify repeatable, manual, or error-prone workflows and build tools to improve or automate them.
• Contribute to enterprise-level applications using agentic coding tools in collaboration with the analytics team.
• Partner with Data Governance to design and maintain an interpretable, well-documented data lake.
• Work with Finance, Investor Relations, Capital Markets, IT, Data Governance, and Investment Professionals to understand upstream data and downstream needs.
• Become independently capable of handling standard LP data requests and contribute to cross-functional data initiatives.

Benefits

• Competitive benefits package designed to support employees’ health, financial security, family needs, and overall well-being.
• May be eligible for a discretionary annual bonus based on factors such as individual impact and team and firm performance.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed