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Lead Finance Data Analyst - Enterprise Reporting

Job in Chicago, Cook County, Illinois, 60290, USA
Listing for: UL Solutions
Full Time, Part Time position
Listed on 2026-10-16
Job specializations:
  • IT/Tech
    Business Intelligence, Data Analyst
Salary/Wage Range or Industry Benchmark: 150000 - 175000 USD Yearly USD 150000.00 175000.00 YEAR
Job Description & How to Apply Below
Job Description

Great decisions start with trusted data. In this role, you will help build the enterprise reporting and analytics engine that gives UL Solutions leaders the clarity to see performance, act faster, and run the business with confidence.

As Lead Finance Data Analyst - Enterprise Performance Reporting, you will turn complex financial, operational, and business data into executive-ready dashboards, KPI frameworks, and self-service analytics that improve decisions across the enterprise.

This is a high-impact role for someone who can connect the dots between data, business performance, and leadership action.

This is a full-time hybrid position (3 days per week in office) located at either our Northbrook, IL or Chicago, IL office.

Responsibilities Enterprise Reporting & Dashboard Development
  • Build executive dashboards, scorecards, enterprise reports, and KPI frameworks that leaders use to run the business.
  • Standardize financial and operational metrics so reporting is consistent, trusted, and scalable.
  • Design clear, intuitive reporting experiences that make performance easy to understand and act on.
  • Partner with Finance and business teams to deliver reporting solutions that solve real business needs.
  • Support management and executive reporting packages with timely, relevant insights.
Data Analytics & Insights
  • Analyze financial, operational, and business data to uncover trends, risks, opportunities, and performance drivers.
  • Translate analysis into practical recommendations that help leaders move faster and make better decisions.
  • Strengthen enterprise KPI structures and performance measurement practices.
Data Management & Reporting Solutions
  • Bring together data from multiple systems and make it usable, reliable, and ready for reporting.
  • Maintain reporting datasets and catalogs as trusted enterprise information sources.
  • Improve data preparation, automation, and visualization to reduce manual effort and increase speed.
  • Promote data quality, accuracy, and consistency across reporting processes.
  • Work with IT and data teams to improve architecture, integration, and access to trusted data.
Analytics Product Development
  • Define, build, and launch reporting and analytics products that scale across the enterprise.
  • Create self-service dashboards that give teams faster access to the answers they need.
  • Drive adoption and continuous improvement of enterprise analytics capabilities.
  • Identify opportunities to increase automation, efficiency, and business value.
Cross-Functional Collaboration
  • Collaborate with Accounting, FP&A, Operations, IT, and business leaders to align reporting with enterprise priorities.
  • Present insights clearly to technical and non-technical audiences.
  • Build alignment by connecting data insights to business decisions.
  • Serve as a trusted advisor on reporting, performance measurement, and analytics practices.
  • Coach analysts and business partners involved in reporting and analytics initiatives.
Governance & Compliance
  • Promote reporting standards, metric consistency, and data governance best practices.
  • Document KPI definitions, reporting methodologies, and business rules.
  • Follow the UL Solutions Code of Conduct and all physical and digital security requirements.
  • Perform other duties as assigned.
Qualifications Required
  • Bachelor’s degree in Finance, Accounting, Business Analytics, Data Science, Statistics, Mathematics, Information Systems, or related field.
  • 5+ years of experience in business analytics, enterprise reporting, BI, financial reporting, performance management, or related work.
  • Advanced proficiency in Microsoft Power BI and Microsoft Excel.
  • Experience working with large, complex datasets.
  • Strong data management, integration, and analysis skills.
  • Ability to organize, analyze, validate, and connect…
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