Drive financial insight on Kirkland and Ellis’ Finance Data & Analytics team in Chicago through advanced analytics, modeling, and reporting.

Advance firm and client reporting initiatives using financial modeling, data mining, and analysis across multiple data sources.
Convert transactional data into fact-and-dimension structures that support efficient analysis for both technical and non-technical users.
Develop and improve Power BI solutions, including models, reports, measures, and DAX to surface meaningful financial information.
Partner with senior management, firm partners, functional leaders, and stakeholders to align on goals and determine the most effective data and delivery approach.
Use Transact-SQL and related tools to extract, organize, validate, and present information in clear formats.
Analyze complex datasets to identify patterns, correlations, gaps, and insights that support informed decision-making.
Apply analytical approaches to assess the impact of process changes and contribute to system and process re-engineering efforts.
Deliver accurate, timely reporting for committees, the CFO, and other senior leaders.
Monitor Power BI developments and collaborate across teams to improve how financial data is used throughout the firm.
Investigate data flows and support enhancements to the Finance data mart.

Bachelor’s degree in accounting or finance (or comparable experience).
6+ years of progressively responsible accounting or finance experience; law firm or professional services experience is a plus.
Strong SQL skills, including building complex queries with a solid understanding of relational database concepts.
Advanced Microsoft Excel skills.
Ability to collect, organize, interpret, and communicate complex information accurately, tying detailed findings to broader business objectives.
Proactive mindset for identifying next steps, exploring solutions, anticipating barriers, and gathering input from stakeholders.
Strong written, verbal, interpersonal, and organizational skills; ability to operate independently and collaboratively across all levels.
Excellent attention to detail, sound judgment, commitment to confidentiality, and a strong customer-service mindset.
Preferred: CPA status or MBA.
Highly valued: experience with PySpark, Microsoft Fabric notebooks, and batch jobs; also Power BI reporting, DAX, or tabular modeling.

Click Apply Now to complete the application and submit your resume.

Senior Financial Data Analyst

Job Description