Senior Macro Data Analytics Reporting Analyst - Operations
About The Position
U.S. Bank is seeking a senior analytics professional to turn large, complex datasets into insights, analytical tools, and actionable recommendations. This highly technical, hands-on role combines programming, statistical analysis, automation, modeling, and complex data work with business and financial knowledge. The analyst will develop and continuously improve analytical solutions and communicate findings to help partners make informed, data-driven decisions. The position requires working from a U.S. Bank location three or more days per week, at either the Chicago, Illinois or Charlotte, North Carolina location. The stated schedule is Monday through Friday, 8:00 a.m. to 5:00 p.m. CST.
Requirements
- Bachelor’s degree in a related field, or equivalent work experience.
- Eight or more years of statistical and/or data analytics experience.
- Hands-on programming experience with Python and/or R, including developing, automating, and enhancing analytical tools.
- Strong experience with SQL and complex or large datasets.
- Experience with analytics, advanced statistics, data science, predictive modeling, or quantitative modeling.
- Strong statistical and analytical skills, including extracting, collecting, organizing, analyzing, and interpreting complex data.
- Ability to connect technical analysis with financial or business concepts and translate findings into actionable recommendations.
- Demonstrated project management skills and ability to manage analytical work from initial question through recommendation.
- Strong written, verbal, and interpersonal communication skills.
- Ability to work at a U.S. Bank location three or more days per week.
Nice To Haves
- Experience with 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.
Responsibilities
- 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 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 concisely and understandably to technical and business audiences.
- Partner across teams to develop a holistic view of problems and opportunities.
- Measure results of implemented recommendations and identify opportunities for adjustment or further improvement.
- Ensure data acquisition, sharing, analysis, and reporting align with company standards.
Benefits
- Healthcare coverage, including medical, dental, and vision.
- Basic term and optional term life insurance.
- Short-term and long-term disability.
- Pregnancy disability and parental leave.
- 401(k) and employer-funded retirement plan.
- Paid vacation from two to five weeks depending on salary grade and tenure.
- Up to 11 paid holiday opportunities.
- Adoption assistance.
- Sick and Safe Leave accruals of one hour for every 30 hours worked, up to 80 hours per calendar year unless otherwise provided by law.
- Incentive and recognition programs.
- Equity stock purchase, 401(k) contribution, and pension, subject to eligibility requirements.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
