KKR

1 week ago

Data Operations & Analytics Associate

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Build and maintain analytics models, dashboards, and reporting that support private markets and credit investment teams. Partner with business stakeholders and technology teams to translate requirements into scalable data-driven solutions. Develop and optimize SQL queries and support data quality across sources, collaborating with data engineering to implement pipelines and integrations. Expand domain expertise in private markets/credit data and improve efficiency through automation and AI-enhanced workflows.

Location: Boston

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Analytics & Business Intelligence

Seniority: Mid level

Key Responsibilities

•Design, build, and maintain analytical models, dashboards, and reporting for private markets and credit investment teams.
•Act as a liaison between business stakeholders and technology teams to gather requirements and define analytical use cases.
•Write and optimize complex SQL queries to extract, transform, and analyze data while ensuring data quality and consistency.
•Collaborate with data engineering, technology, and operations teams to implement scalable data pipelines, integrations, and analytics infrastructure.
•Improve workflows through process automation and by exploring AI tools and large language models to accelerate reporting.

Pay and Benefits

Salary: USD 100,000 - 130,000 annually

Key Requirements

•4+ years of experience in data analytics, data science, or a related field.
•Proficiency in SQL, including writing complex queries and building data models across large datasets.
•Hands-on experience with Snowflake (or similar cloud data warehouse) and BI/reporting tools such as Power BI, Sigma, or Tableau.
•Working knowledge of Python 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.

Experience:4+ yearsPrivate marketsCreditAlternative investmentsData analyticsData scienceFinancial servicesAsset managementFintech

Skills:CommunicationPresentation skillsProblem-solvingAttention to detailTeamwork

Languages:English

Tech Stack:SQLSnowflakePower BISigmaTableauPythonDbtGitAI toolsLarge language modelsMachine learning

Company Brief

KKR

Global investment firm providing alternative asset management and capital markets services across private equity, credit, real assets, and hedge funds, serving institutional and private clients worldwide.

Industry: Asset Management

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: New York, United States

Founded: 1976

Website LinkedIn

Loading job details...

Preparing the role view and application actions.

KKR