Operations & Analytics Associate

COMPANY OVERVIEW

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 sponsors investment funds that invest in private equity, credit and real assets and has strategic partners that manage hedge funds. KKR’s insurance subsidiaries offer retirement, life and reinsurance products under the management of Global Atlantic Financial Group. References to KKR’s investments may include the activities of its sponsored funds and insurance subsidiaries.

POSITION SUMMARY

KKR is hiring for an enterprise Data Operations group to collect, manage, and harness the power of data across our diverse business activities. The Data Operations Center of Excellence (CoE) is a cross-functional team dedicated to formulating and driving KKR's enterprise data strategy while also providing the operating leverage required to bring these strategies and frameworks to life.

The Data Operations CoE is seeking to hire an Associate / Senior Analyst to support Analytics efforts across Private Markets and Credit. The candidate will work closely with business stakeholders and technology partners to build analytical models, data products, and lightweight tools that go beyond static reporting, translating complex data into clear, actionable insight for investment and operational decision-makers. This is a hands-on role where the candidate should expect to be writing SQL and Python, building and testing models, and developing tools directly. 

The ideal candidate would have the unique combination of strong data analysis and data science skills, genuine comfort building tools and applications, and the interpersonal polish to engage confidently with senior leadership. The candidate should have a passion/interest in private markets and credit investing, an interest in embracing new technologies (AI), strong verbal/written communication skills, and be a good cultural fit with an emphasis on collaboration, excellence, and action-oriented results. 

RESPONSIBILITIES

• Design, build, and maintain analytical models, data products, and lightweight tools that support Private Markets and Credit investment teams, going beyond static reporting to surface original, actionable insight 
• Serve as a key liaison between business stakeholders and technology teams, gathering requirements, defining analytical use cases, and ensuring delivered solutions meet business needs 
• Write and optimize complex SQL queries and Python-based scripts to extract, transform, model, and analyze data across multiple sources and platforms, ensuring data quality and consistency 
• Partner closely with data engineering, technology, and operations teams to design and implement scalable data pipelines, integrations, and infrastructure that underpin analytics, modeling, and tool development