Portfolio Data Operations Analyst – Private Markets

Stage; Boston (MA); Hybrid; USD 90,000 - 130,000; Full time

Job summary

KKR is seeking an Associate in Boston to support Americas Private Equity data management and performance reporting across portfolios. You will work with deal teams, KKR Capstone, and KKR Capital Markets to lead internal portfolio monitoring and analytics, while helping onboarding and data quality improvements across regional and global leadership.

The role emphasizes financial acumen, data analysis, and comfort with new technologies (AI).

Qualifications

• Bachelor’s degree in a quantitative field required.
• 4–6 years in data-intensive financial services or private equity.
• SQL skills with data manipulation and joins.
• Familiarity with Python or similar programming language.
• Experience with data visualization tools (PowerBI/Tableau/Sigma).
• Advanced Excel skills (pivot, Power Query).

Responsibilities

• Maintain and analyze Americas Private Equity portfolio company financial data.
• Manage recurring financial data collection for Americas Private Equity.
• Develop data products and automated analytics workflows.
• Produce quarterly performance reporting for portfolio management committees.
• Monitor data quality and remediation of issues.
• Operate the Chronograph data platform regionally.
• Provide quarterly LP reports and handle due diligence requests.
• Collaborate with Global Data Operations and regional teams.
• Support data initiatives across global functions.
• Collaborate with deal teams and PortCo contacts.

Skills

SQL

Python

Data analysis

Excel

Communication

Collaboration

Education

Bachelor's degree in quantitative field

Master's degree preferred

Tools

PowerBI

Tableau

Sigma

Databricks

Snowflake

iLEVEL

Job description

KKR is seeking an Associate in Boston to support Americas Private Equity data management and performance reporting across portfolios. You will work with deal teams, KKR Capstone, and KKR Capital Markets to lead internal portfolio monitoring and analytics, while helping onboarding and data quality improvements across regional and global leadership.

The role emphasizes financial acumen, data analysis, and comfort with new technologies (AI).