> Markdown version of [/jobs/ext/3993954-senior-macro-data-analytics-reporting-analyst-operations](https://www.wearedevelopers.com/jobs/ext/3993954-senior-macro-data-analytics-reporting-analyst-operations). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Macro Data Analytics Reporting Analyst - Operations - **Company:** U.S. Bank, National Association - **Location:** Chicago, IL, United States - **Experience:** Expert - **Salary:** $139,230.0 - $163,800.0 - **Contract:** Permanent contract - **Skills:** Microsoft Excel, Business Analytics Applications, Data Analysis, Big Data, Computer Programming, R (Programming Language), Apache Hadoop, SPSS (Software), Python (Programming Language), SAS (Software), Software Engineering, SQL Databases, Computational Statistics, Information Technology, Data Analytics - **Published:** October 28, 2026 - **Apply:** https://usbank.wd1.myworkdayjobs.com/US_Bank_Careers/job/Chicago-IL/Senior-Macro-Data-Analytics-Reporting-Analyst---Operations_2026-0033278 ## About the Role Are you an experienced analytics professional who enjoys solving complex problems through code, data, and quantitative analysis?, * Bachelor's degree in a related field, or equivalent work experience. * Eight or more years of statistical and/or data analytics experience. Preferred Skills/Experience We're especially interested in candidates who bring a strong combination of software development/coding, quantitative analysis, and business problem-solving, including: * Hands-on programming experience with Python and/or R, with the ability to develop, automate, and enhance analytical tools. * Strong experience with SQL and working with complex or large datasets. * Experience with analytics, advanced statistics, data science, predictive modeling, or quantitative modeling. * Strong statistical and analytical skills, including the ability to extract, collect, organize, analyze, and interpret complex data. * Experience using tools such as Python, R, SQL, Excel, Hadoop, SAS, SPSS, geospatial tools, or similar analytical technologies. * Educational background in Computer Science, Data Science, Applied Mathematics, Statistics, Finance, Engineering, Business, or another quantitative discipline. * Advanced or graduate-level education in a quantitative or technical discipline is a plus. * Ability to connect technical analysis with financial or business concepts and translate findings into actionable recommendations. * Demonstrated project management skills and the ability to manage analytical work from initial question through recommendation. * Strong written, verbal, and interpersonal communication skills. ## Description We're looking for a Sr. Macro Data Analytics Reporting Analyst who can turn large, complex datasets into meaningful insights, analytical tools, and actionable recommendations. This is a highly technical, hands-on role for someone who enjoys working with Python and/or R, statistical analysis, automation, modeling, and complex data while partnering with the business to solve real-world problems. You'll have the opportunity to combine technical expertise with business and financial knowledge, develop and continuously improve analytical solutions, and communicate findings in a way that helps partners make informed, data-driven decisions. What You'll Do * Gather, integrate, and analyze large volumes of data from multiple sources. * Use Python, R, SQL, and other analytical technologies to perform complex analysis and identify meaningful trends and patterns. * Develop and continuously improve analytical tools, models, reporting, and automated solutions. * Apply statistical and quantitative techniques to answer complex business questions. * Translate analysis into clear insights, recommendations, and potential courses of action. * Present technical findings in a concise, understandable way to both technical and business audiences. * Partner across teams to develop a holistic view of problems and opportunities. * Measure the results of implemented recommendations and identify opportunities for adjustment or further improvement. * Ensure data acquisition, sharing, analysis, and reporting are aligned with company standards.