Senior Business Analyst

UL Solutions • Chicago, IL

3d • Hybrid

About The Position

The Senior Business Analyst will be responsible for designing and maintaining reporting solutions, including developing user-friendly reports, dashboards, and graphics. This role involves managing a centralized data catalog to ensure accessibility of key data sources for stakeholders. The position requires advanced statistical analysis and data modeling techniques, programming in languages like Python or R, data warehousing, ETL, SQL optimization, and business intelligence using tools such as Power BI. The analyst will also be responsible for data validation and mapping, conducting advanced data analysis, developing programming solutions for data preparation and visualization, providing actionable insights and strategic recommendations, and collaborating on projects. This role has a hybrid work schedule, permitting three days in the Chicago, IL office and two days to be worked from home.

Requirements

• Bachelor’s degree in Computer Science, Analytics, Data Science, Statistics, Finance, or related field and 5 years of work experience.
• 3 years of work experience involving advanced statistical analysis and data modeling techniques, such as regression, hypothesis testing, sampling to interpret large datasets and deliver actionable insights aligned with business objectives.
• 3 years of work experience utilizing programming languages, such as Python or R for data preparation, transformation, and visualization using libraries.
• 3 years of work experience in data warehousing, ETL and SQL optimization to include querying, indexing, and optimizing large datasets with ETL processes to extract, transform, and load data from multiple sources into data warehouses and performance tuning.
• 3 years of work experience in business intelligence, data visualization & reporting: ability to design and develop dashboards and reports using Power BI or similar BI tools for concise visualizations.
• 3 years of work experience in data validation & data mapping, experience in validating data accuracy, consistency, and completeness across multiple systems, and ability to perform data mapping between disparate sources to ensure proper integration and alignment.
• Master’s degree in Computer Science, Analytics, Data Science, Statistics, Finance, or related field and 3 years of experience stated herein to involve: (1) advanced statistical analysis and data modeling techniques, such as regression, hypothesis testing, sampling to interpret large datasets and deliver actionable insights aligned with business objectives; (2) utilized programming languages, such as Python or R for data preparation, transformation, and visualization using libraries; (3) data warehousing, ETL and SQL optimization to include querying, indexing, and optimizing large datasets with ETL processes to extract, transform, and load data from multiple sources into data warehouses and performance tuning; (4) business intelligence, data visualization & reporting: ability to design and develop dashboards and reports using Power BI or similar BI tools for concise visualizations; (5) data validation & data mapping, experience in validating data accuracy, consistency, and completeness across multiple systems, and ability to perform data mapping between disparate sources to ensure proper integration and alignment.

Responsibilities

• Design and maintain reporting solutions by developing user-friendly reports, dashboards, and graphics.
• Manage a centralized data catalog to ensure accessibility of key data sources for stakeholders.
• Conduct advanced data analysis using traditional and statistical methods, including data aggregation, transformation, validation, and mapping to support hypothesis testing and business decisions.
• Develop and implement programming solutions for data preparation, analysis, and visualization to enable statistical modeling, analytics, and interpretation of complex datasets.
• Provide actionable insights and strategic recommendations by analyzing trends, identifying emerging business-critical issues, and leveraging historical patterns to define opportunities for safety and process improvements.
• Collaborate and lead projects by acting as a resource for less experienced colleagues, ensuring compliance with organizational standards, and delivering data-driven solutions that build consensus across teams.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior