STAGE (stage.in)
Data Operations - Distribution Data Enablement Lead
New York, New York, United States · Principal
Sponsorship not specified$195k-$235kDetected 26 days ago
PythonSQLSnowflakeDatabricksData EngineeringData VisualizationStatisticsProduct StrategySalesforceFinancial AnalysisAccountingExcelResearchLeadershipCommunication
About the role
- KKR is a leading global investment firm that offers alternative asset management as well as capital markets and insurance solutions.
- KKR aims to generate attractive investment returns by following a patient and disciplined investment approach, employing world-class people, and supporting growth in its portfolio companies and communities.
- KKR's insurance subsidiaries offer retirement, life and reinsurance products under the management of Global Atlantic Financial Group.
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
- 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
- Support macro-Distribution business performance analysis, including fundraising trends, platform economics, investor segmentation, product performance, and concentration across LPs, channels, regions, and strategies
- Integrate Distribution, fund, investor, deal, finance, and accounting data to create richer analytical views of investor outcomes and business performance
- Partner with Technology and Data Operations to productionize prototypes, improve data pipelines, and strengthen the broader Distribution analytics infrastructure
Requirements
- Experience with business performance or profitability analytics, including client profitability, revenue attribution, relationship value, platform economics, segmentation, concentration, and commercial trend analysis
- Experience with Sigma, Power BI, Tableau, or similar business intelligence platforms, including dashboard design, semantic data modeling, governed metrics, and self-service analytics
- 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
- Strong communication skills, with the ability to explain complex quantitative, data, performance, and profitability concepts clearly to technical and non-technical audiences
- KKR will provide reasonable accommodations as required by applicable federal, state, and/or local laws.
- 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
- 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
- Experience developing hypothetical and scenario-based analysis, including deal inclusion/exclusion, co-investment impact, cash flow projections, portfolio construction changes, and LP-specific performance scenarios
- Strong understanding of LP-level analytics, including investor exposure, product participation, capital commitments, unfunded balances, subscriptions, redemptions, distributions, realized/unrealized performance, and relationship economics
- 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 )
- Ability to operate effectively with senior stakeholders while managing fast-moving ad hoc requests and longer-term capability-building priorities
Nice to have
- 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
Compensation
- $195,000 - $235,000 USD
- KKR will provide reasonable accommodations as required by applicable federal, state, and/or local laws.
- Emails sent for unrelated issues, such as following up on an application, will not receive a response.
- This is the expected annual base salary range for this New York-based position.
- Base Salary Range
Benefits
- Employees may be eligible for a discretionary bonus, based on factors such as individual and team performance.
Equal opportunity
- KKR is an equal opportunity employer.
Apply directly at STAGE (stage.in) →Create a free account for alerts like thisView STAGE (stage.in) immigration profile
This listing is sourced directly from STAGE (stage.in)'s careers page and normalized into a canonical job model.