Lead Finance Data & Enterprise Performance Analytics

UL Solutions

Northbrook (IL)

Hybrid

USD 150,000 - 175,000

Full time

25 hours ago
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Benefits offered by this job

Health benefits
401K retirement savings
Paid time off

Job summary

UL Solutions is seeking a Lead Finance Data Analyst to turn complex financial and operational data into executive dashboards, KPI frameworks, and self-service analytics that empower leaders to act with confidence. This hybrid role anchors in Northbrook, IL or Chicago, IL, combining data storytelling with cross-functional collaboration across Finance, IT, and business teams.

The ideal candidate will build scalable reporting, standardize metrics, and drive automation while partnering with

Qualifications

  • 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 information from multiple sources.
  • Strong communication and presentation skills for technical and non-technical audiences.
  • Experience creating dashboards, scorecards, executive reporting, and analytical solutions.

Responsibilities

  • 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.
  • 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.
  • 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.
  • 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.
  • 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.

Skills

Power BI
Excel
Data analysis
Dashboards

Education

Bachelor's degree in Finance
Business Analytics

Tools

SQL
ERP
EPM
Automation tools

Job description

UL Solutions is seeking a Lead Finance Data Analyst to turn complex financial and operational data into executive dashboards, KPI frameworks, and self-service analytics that empower leaders to act with confidence. This hybrid role anchors in Northbrook, IL or Chicago, IL, combining data storytelling with cross-functional collaboration across Finance, IT, and business teams.

The ideal candidate will build scalable reporting, standardize metrics, and drive automation while partnering with

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