Data Operations & Analytics Associate

Careers at KKR•Boston, MA

15h•$100,000 - $130,000•Hybrid

About The Position

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. We are hiring an Associate / Senior Analyst within the Data Operations CoE focused on Data & Analytics. This individual will sit at the intersection of business and technology, combining strong data analytics capabilities with a solid understanding of private markets and credit to deliver insights, reporting, and data solutions that support investment and operational decision-making across the firm. The ideal candidate brings 4+ years of experience in data analytics or data science. They are comfortable partnering with both business stakeholders and technology teams to translate complex business requirements into scalable, data-driven solutions. A genuine interest in private markets, credit, and alternative investments is essential, and experience applying AI and automation to improve workflows is a strong plus.

Requirements

4+ years of experience in data analytics, data science, or a related field
Proficiency in SQL with demonstrated ability to write complex queries, build data models, and work across large-scale datasets
Hands-on experience with Snowflake (or equivalent cloud data warehouse) and BI/reporting tools (e.g., Power BI, Sigma, Tableau)
Working knowledge of Python with the ability to read, interpret, and contribute to Python-based data pipelines and analytical scripts
Experience partnering with data engineering or technology teams to design, build, and operationalize data solutions
Demonstrated ability to work in business-facing roles, translating stakeholder needs into analytical frameworks, reports, and data products
Strong communication and presentation skills, with the ability to convey technical findings to non-technical audiences
Intellectual curiosity and interest in private markets, credit, and alternative investments
Strong problem-solving skills with a proactive, self-starter mindset and high attention to detail
Strong cultural fit (teamwork, results-oriented, proactive, and high integrity)

Nice To Haves

Direct experience in private markets, credit, or alternative investment data and analytics
Hands-on experience applying AI, machine learning, or large language models to improve business workflows and data processes
Background in financial services, asset management, or fintech
Working understanding of dbt (data build tool) for managing data transformations, building modular analytics pipelines, and maintaining well-tested, version-controlled data models
Experience with version control systems (e.g., Git) and collaborative development workflows

Responsibilities

Design, build, and maintain analytical models, dashboards, and reporting solutions that support private markets and credit investment teams, translating complex data into clear and actionable insights
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 to extract, transform, 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 and reporting
Develop domain expertise in private markets and credit data, including deal, portfolio, fund, and investor data, and apply that knowledge to improve data coverage, quality, and analytical depth
Identify opportunities to streamline manual workflows, automate repetitive tasks, and improve the efficiency and reliability of data processes across the team
Explore and apply AI tools, large language models, and emerging technologies to enhance analytical workflows, accelerate reporting, and unlock new capabilities for the business