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Senior Financial Data Analyst (SQL)

Kirkland & Ellis

$120,000 - $135,000
Oct 30, 2025
Chicago, IL, US
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Kirkland & Ellis is looking to solve the problem of transforming complex financial information into clear, actionable insights to support the Firm's financial strategy and strengthen data-driven decision-making across the organization.

Requirements

  • Advanced SQL querying skills and proven experience with Power BI tabular modeling.
  • Strong understanding of relational database concepts and data architecture.
  • Advanced Microsoft Excel skills, with solid experience in database and data visualization tools.

Responsibilities

  • Support key Firm initiatives with sophisticated financial modeling, data mining, and analysis to meet specialized reporting needs for leadership and clients.
  • Architect and maintain fact-and-dimension-based data structures that simplify access to critical financial information for non-technical users.
  • Design and enhance Power BI models and measures using Data Analysis Expressions (DAX) to streamline reporting and analysis.
  • Create complex queries using Transact-SQL and related tools to ensure accurate, efficient data extraction and reporting.
  • Identify and analyze key performance patterns within large data sets to inform Firm strategy and operations.
  • Explore transactional data, apply data mining techniques, and transform results into accessible reports and dashboards.
  • Prepare and deliver reports for committees, the Chief Financial Officer (CFO), and other senior management stakeholders.

Other

  • Bachelor’s degree in Accounting, Finance, or a related field (or equivalent experience); Certified Public Accountant (CPA) or Master of Business Administration (MBA) preferred with at least 6 years of progressive experience in accounting and/or finance, ideally within a professional services or law firm environment.
  • Exceptional ability to collect, organize, analyze, and interpret data with precision, while maintaining awareness of broader business objectives.
  • Strong written and verbal communication skills, with the ability to translate complex data into clear insights for all levels of the Firm.
  • Highly organized, proactive, and results-oriented, with strong attention to detail and a commitment to excellence and customer service.