About The Position

U.S. Bank is seeking a senior analytics professional to turn large, complex datasets into meaningful insights, analytical tools, and actionable recommendations. This highly technical, hands-on role combines programming, statistical and quantitative analysis, automation, modeling, and complex data work with business and financial knowledge. The analyst will develop and improve analytical solutions and communicate findings to help partners make informed, data-driven decisions. The position is based at a U.S. Bank office in Chicago, Illinois, or Charlotte, North Carolina, and requires working from a bank location at least three days per week. 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.
  • Strong statistical and analytical skills, including the ability to extract, collect, organize, analyze, and interpret complex data.
  • Strong written, verbal, and interpersonal communication skills.
  • Demonstrated project management skills and ability to manage analytical work from initial question through recommendation.

Nice To Haves

  • 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.
  • Experience with analytical technologies such as Python, R, SQL, Excel, Hadoop, SAS, SPSS, or geospatial tools.
  • 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.
  • Ability to connect technical analysis with financial or business concepts and translate findings into actionable recommendations.

Responsibilities

  • Gather, integrate, and analyze large volumes of data from multiple sources.
  • Use Python, R, SQL, and other analytical technologies to perform complex analyses 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 clearly to 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 align with company standards.
  • Manage analytical work from the initial question through recommendation.

Benefits

  • Healthcare, including medical, dental, and vision coverage.
  • Basic term and optional term life insurance.
  • Short-term and long-term disability coverage.
  • Pregnancy disability and parental leave.
  • 401(k) and employer-funded retirement plan.
  • Paid vacation of 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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