• Sr. Financial Data Analyst

    Location US-IL-Northbrook
    Job ID
    # of Openings
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  • Overview

    Contribute to a Safer, More Secure, and More Sustainable World. At UL, we know why we come to work. Thousands of us around the world wake up every day with one common purpose – to make the world a safer, more secure, and more sustainable place to live. We clear the way for our customers to introduce the latest products, technological advances, and systems in an increasingly complex world so they can provide peace of mind to the market. Our integrity is woven throughout our company and shapes the way we approach and deliver our solutions. We are proud that the work we do every day has a meaningful contribution to society. We continue to build upon our legacy of trusted expertise and partnership to keep our communities safe and secure as we march forward into the future. This helps us to sleep better at night, and we are confident that the millions of people we touch rest easier too.


    We are looking for a Sr. Business Data Analyst to join our team! They will be responsible for managing, evaluating and compiling data, maintaining data integrity and presenting complex data in a meaningful manner to various levels of the organization.  Conducts complex analysis of datasets to assist in areas of research, development, product enhancement or other targeted business objectives.  Responsible for complex and interpretive operational and financial research and analysis in the development and measurement of business performance, strategies and tactics. Use advanced mathematical methods to analyze and interpret data from various sources. Use established statistical methods to determine data sources, sample sizes and appropriate methods to create and interpret reports. Contributes to moderately complex aspects of a project.  Work is independent and collaborative in nature.  Provides regular updates to manager and team on project/account status.


    • Defines and develops user-friendly reports and graphics that integrate and convey complex data/information and maintains data catalog to provide key data sources to internal and external stakeholders.
    • Prepares and analyzes operational data and metrics that drive financial growth and performance.
    • Develops and implements programming solutions to conduct data preparation, analysis and visualization in support of statistical modeling, data analytics and interpretation.
    • Transforms complex data into creative graphs, tables, charts and other graphics in order to present and/or share the data in a comprehensive and concise manner. Uses data to build consensus.
    • Aggregates and transforms data to test hypotheses, prepares and analyzes data to meet the needs of efficient data analysis. Explains difficult or sensitive information to appropriate audience.
    • Interprets and analyzes variances to budget and forecast with use of operation and financial metrics.
    • Conducts in-depth data analyses using traditional and advanced statistical methods.
    • Assesses trends and provides analysis to identify emerging business critical issues. Identifies and defines opportunities for solutions by analyzing historical patterns. Recommends operational changes based on operational and financial analyses.
    • Define, develop and deploy data, analytics and reporting products and services. Conducts data validation, statistical analyses, and data mapping.
    • Acts as a resource for colleagues with less experience; may lead projects with manageable risk.
    • Performs other duties as directed.


    • University Degree (Equivalent to Bachelor’s degree) in Mathematics, Statistics, Finance or a related discipline plus 3 - 5 years of experience in data and statistical analyses strongly preferred.
    • Expert knowledge of Microsoft Excel and Power BI. Strong data management and data integration skills. Knowledge of Tableau software is preferred
    • Strong interpersonal skills with the ability to communicate with technical and non-technical stakeholders.
    • Ability to organize, analyze and correlate data information with previous experience doing large scale data analysis.
    • Working knowledge of the fundamentals of accounting and/or finance
    • Demonstrated ability to analyze operational and financial data


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