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<div class="content-intro"><p><strong>COMPANY OVERVIEW</strong></p> <p>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.</p></div><p><strong>POSITION SUMMARY</strong></p> <p>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.</p> <p>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.</p> <p>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.</p> <p><strong>RESPONSIBILITIES</strong></p> <ul> <li>Data Analytics & Insights: 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</li> <li>Business Partnership: Serve as a key liaison between business stakeholders and technology teams, gathering requirements, defining analytical use cases, and ensuring delivered solutions meet business needs</li> <li>SQL & Data Development: Write and optimize complex SQL queries to extract, transform, and analyze data across multiple sources and platforms, ensuring data quality and consistency</li> <li>Cross-Functional Collaboration: Partner closely with data engineering, technology, and operations teams to design and implement scalable data pipelines, integrations, and infrastructure that underpin analytics and reporting</li> <li>Private Markets & Credit Support: 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</li> <li>Process Improvement & Automation: Identify opportunities to streamline manual workflows, automate repetitive tasks, and improve the efficiency and reliability of data processes across the team</li> <li>AI & Innovation: Explore and apply AI tools, large language models, and emerging technologies to enhance analytical workflows, accelerate reporting, and unlock new capabilities for the business</li> </ul> <p><strong>QUALIFICATIONS</strong></p> <ul> <li>4+ years of experience in data analytics, data science, or a related field</li> <li>Proficiency in SQL with demonstrated ability to write complex queries, build data models, and work across large-scale datasets</li> <li>Hands-on experience with Snowflake (or equivalent cloud data warehouse) and BI/reporting tools (e.g., Power BI, Sigma, Tableau)</li> <li>Working knowledge of Python with the ability to read, interpret, and contribute to Python-based data pipelines and analytical scripts</li> <li>Experience partnering with data engineering or technology teams to design, build, and operationalize data solutions</li> <li>Demonstrated ability to work in business-facing roles, translating stakeholder needs into analytical frameworks, reports, and data products</li> <li>Strong communication and presentation skills, with the ability to convey technical findings to non-technical audiences</li> <li>Intellectual curiosity and interest in private markets, credit, and alternative investments</li> <li>Strong problem-solving skills with a proactive, self-starter mindset and high attention to detail</li> <li>Strong cultural fit (teamwork, results-oriented, proactive, and high integrity)</li> </ul> <p><strong>PREFERRED QUALIFICATIONS</strong></p> <ul> <li>Direct experience in private markets, credit, or alternative investment data and analytics</li> <li>Hands-on experience applying AI, machine learning, or large language models to improve business workflows and data processes</li> <li>Background in financial services, asset management, or fintech</li> <li>Working understanding of dbt (data build tool) for managing data transformations, building modular analytics pipelines, and maintaining well-tested, version-controlled data models</li> <li>Experience with version control systems (e.g., Git) and collaborative development workflows</li> </ul> <p> </p> <p>#LI-HYBRID</p><div class="content-pay-transparency"><div class="pay-input"><div class="description"><p>This is the expected annual base salary range for this Boston-based position. Actual salaries may vary based on factors, such as skill, experience, and qualification for the role. Employees may be eligible for a discretionary bonus, based on factors such as individual and team performance.</p></div><div class="title">Base Salary Range</div><div class="pay-range"><span>$100,000</span><span class="divider">—</span><span>$130,000 USD</span></div></div></div><div class="content-conclusion"><p>KKR is an equal opportunity employer.  Individuals seeking employment are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, sexual orientation, or any other category protected by applicable law.</p> <p>KKR will provide reasonable accommodations as required by applicable federal, state, and/or local laws. Individuals seeking an accommodation for the application or interview process should email <a href="mailto:Benefits@kkr.com">Benefits@kkr.com</a>. Emails sent for unrelated issues, such as following up on an application, will not receive a response.</p> <p>If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access <a href="https://www.kkr.com/careers" data-saferedirecturl="https://www.google.com/url?q=https://www.kkr.com/careers&source=gmail&ust=1774021690220000&usg=AOvVaw1AG2WRszai8PfCsE-FH5EJ">https://www.kkr.com/careers</a> because of your disability. You can request reasonable accommodations by sending an email to <a href="mailto:Benefits@kkr.com">Benefits@kkr.com</a>. Only emails left for this purpose will be returned.</p> <p><strong>Massachusetts Applicants:</strong> It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. This notice applies only to applicants and employees who work or will work in Massachusetts, in accordance with applicable state law.</p></div>

Data Operations & Analytics Associate