Hiring: Data Operations - Distribution Data Enablement Lead Company: KKR Location: New York, NY Job Posted Time: 2026-09-13 11:51:36 Target Skills & Keywords : CFA, Capital Markets, Data Pipeline, Databricks, Microsoft Excel, Product Strategy, Python, SQL, Salesforce, Snowflake About the job Experience: •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 Required Skills: •We are seeking a Principal-level Distribution Data Enablement Lead to serve as the primary data and analytics partner for Distribution business performance, fund performance analytics, LP-level insights, and cross-asset-class commercial intelligence. •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 •Develop LP-level analytics across asset classes, including investor performance, exposure, allocation, capital activity, product participation, and relationship-level economics •Build profitability and commercial performance analytics for LP relationships, including revenue, economics, resource intensity, product participation, and long-term relationship value Qualifications: •Comprehensive expertise in 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 •Strong cross-asset-class orientation, with the ability to extend fund, investor, and business performance analytics across private equity, credit, real estate, infrastructure, insurance-related strategies, and other investment products •In-depth knowledge of LP-level analytics, including investor exposure, product participation, capital commitments, unfunded balances, subscriptions, redemptions, distributions, realized/unrealized performance, and relationship economics •Operational familiarity with financial books and records, fund accounting, investment accounting, and performance data environments; experience with platforms such as Investran, Geneva, Salesforce, or similar systems preferred •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) •Demonstrated ability to reduce reliance on manual Excel-based workflows and replace them with scalable, controlled, automated, and transparent analytical processes •Strong commercial judgment, with the ability to connect analytical outputs to Distribution strategy, investor engagement, product decisions, and business performance outcomes •Demonstrated capacity to operate effectively with senior stakeholders while managing fast-moving ad hoc requests and longer-term capability-building priorities •Strong communication skills, with the ability to explain complex quantitative, data, performance, and profitability concepts clearly to technical and non-technical audiences Compensation: •$195,000 - $235,000 / year Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!