KKR

1 month ago

Data Operations - Distribution Data Enablement Lead

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Source: Company careers pageValidated by: Fursa AI

Last checked: 21 hours agoStatus: Live

Job Summary

Lead data analytics for Distribution at KKR, building scalable Python-based models, data applications, and self-service tools to drive fund performance analytics, LP-level insights, and cross-asset-class commercial intelligence. Partner with senior stakeholders to modernize Distribution analytics and define strategic data capabilities across fundraising, investor engagement, and platform performance.

Location: New York

Workplace: Onsite

Employment Type: Full time

Job Function: Supply Chain & Logistics

Seniority: Sr. Manager level

Key Responsibilities

•Serve as the primary analytics partner for Distribution business performance, fund performance analytics, LP-level insights, and investor economics
•Lead the evolution of the historical Performance Analytics function from a private markets-focused reporting capability into a broader cross-asset-class Distribution advanced analytics and data enablement function
•Build analytical models, Python-based data applications, automation, and self-service tools that enable scalable insight generation rather than one-off analysis
•Deliver high-quality ad-hoc analysis, performance insights, hypothetical scenarios, investor analytics, and business performance reporting for senior Distribution stakeholders
•Build reusable models that evaluate fund performance under different hypothetical scenarios, including inclusion or exclusion of specific deals, co-investment participation, investment timing, cash flow assumptions, and portfolio composition changes

Pay and Benefits

Salary: USD 195,000 - 235,000 annually

Key Requirements

•10+ years of experience in investment analytics, performance analytics, investor analytics, quantitative analytics, financial analysis/engineering, business performance analytics, or related roles within asset management, alternatives, investment banking, or financial services.
•Deep understanding of private markets performance concepts/metrics, including fund structures, LP reporting, capital activity, valuations, fund cash flows, IRR, MOIC, TVPI, DPI, PME, benchmarking, performance attribution models, and deal-level contribution analysis.
•Highly hands-on technical coding skills, including advanced Python capability and experience building analytical tools, applications, automation, reusable models, and scalable reporting solutions.
•Advanced SQL and database manipulation skills, with the ability to work directly with large, complex datasets across fund, deal, investor, performance, fundraising, revenue, and commercial domains (Snowflake or Databricks experience strongly preferred)
•Experience with Sigma, Power BI, Tableau, or similar business intelligence platforms, including dashboard design, semantic data modeling, governed metrics, and self-service analytics

Experience:Investment analyticsPrivate marketsPerformance analyticsData analytics

Skills:PythonSQLSnowflakeDatabricksSalesforceInvestranGenevaTableauSigma

Languages:English

Tech Stack:PythonSQLSnowflakeDatabricksSalesforceInvestranGenevaTableauSigma

Company Brief

KKR

Global investment firm providing alternative asset management and capital markets services across private equity, credit, real assets, and hedge funds, serving institutional and private clients worldwide.

Industry: Asset Management

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: New York, United States

Founded: 1976

Website LinkedIn

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KKR