Data Analyst
Minneapolis, MN, United States
U.S. Bank
Experience personalized banking services for your unique needs with U.S. Bank - Checking, credit cards, home loans & convenient online banking. Member FDIC.At U.S. Bank, we’re on a journey to do our best. Helping the customers and businesses we serve to make better and smarter financial decisions and enabling the communities we support to grow and succeed. We believe it takes all of us to bring our shared ambition to life, and each person is unique in their potential. A career with U.S. Bank gives you a wide, ever-growing range of opportunities to discover what makes you thrive at every stage of your career. Try new things, learn new skills and discover what you excel at—all from Day One.
Job Description
Reporting to an Analytics Manager, this individual will join a team of talented analysts with diverse analytical skills sets and deeper knowledge of Consumer Banking products and business in general, whose purpose is to use data and analytics to drive value/growth for business line. The data analyst is expected to be a flexible generalist who can provide impactful insights by wrangling complex data, preparing ad-hoc queries, designing a compelling dashboard, and exploring new data. Working as part of a fast-moving and dedicated team, this analyst will help support acquisition, retention and deepening initiatives for all consumer banking products, collaborating with stakeholders and data partners across the enterprise. This individual can present recommendations in a clear and concise manner, that is meaningful for the business. Follow risk and compliance guidelines in processing, analyzing and share out of customer sensitive data.
In addition to a generalist skillset, strong candidates for this role will demonstrate experience and interest in further developing analytical skills, which they will be expected to hone over time. Examples include Data Engineering (architecture, assembly, and implementation of data and intelligence), Experimental Design, etc.
Basic Qualifications
- Bachelor’s degree in a quantitative field such as applied mathematics, economics, statistics, engineering or related field, or equivalent work experience
- Five to seven years of statistics or analytics experience
Preferred Qualifications
- Strong analytical skillset with the ability to extract, collect, organize, analyze and interpret trends or patterns in complex data sets
- Comfort with ambiguity, able to approach business problems consultatively and draw on broad experience of analytical tools, disciplines, and techniques
- Energized by variety and delivering value, flexible as priorities change
- 5+ years of analytical experience leveraging a large relational database, proficient in SQL
- 3+ years coding in statistical tools such as R, Python, or SAS to analyze and interpret data
- Demonstrated experience or advanced education in statistics, computer science, or analytics/data science
- Effective interpersonal, verbal, and written communication skills
Location Expectations
The role offers a hybrid/flexible schedule, which means there's an in-office expectation of 3 or more days per week and the flexibility to work outside the office location for the other days.
If there’s anything we can do to accommodate a disability during any portion of the application or hiring process, please refer to our disability accommodations for applicants.
Benefits:
Our approach to benefits and total rewards considers our team members’ whole selves and what may be needed to thrive in and outside work. That's why our benefits are designed to help you and your family boost your health, protect your financial security and give you peace of mind. Our benefits include the following (some may vary based on role, location or hours):
Healthcare (medical, dental, 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 worked, up to 80 hours per calendar year unless otherwise provided by law
U.S. Bank is an equal opportunity employer. We consider all qualified applicants without regard to race, religion, color, sex, national origin, age, sexual orientation, gender identity, disability or veteran status, and other factors protected under applicable law.
E-Verify
U.S. Bank participates in the U.S. Department of Homeland Security E-Verify program in all facilities located in the United States and certain U.S. territories. The E-Verify program is an Internet-based employment eligibility verification system operated by the U.S. Citizenship and Immigration Services. Learn more about the E-Verify program.
U.S. Bank will consider qualified applicants with arrest or conviction records for employment. U.S. Bank conducts background checks consistent with applicable local laws, including the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act as well as the San Francisco Fair Chance Ordinance. U.S. Bank is subject to, and conducts background checks consistent with the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA). In addition, certain positions may also be subject to the requirements of FINRA, NMLS registration, Reg Z, Reg G, OFAC, the NFA, the FCPA, the Bank Secrecy Act, the SAFE Act, and/or federal guidelines applicable to an agreement, such as those related to ethics, safety, or operational procedures.
Applicants must be able to comply with U.S. Bank policies and procedures including the Code of Ethics and Business Conduct and related workplace conduct and safety policies.
Posting may be closed earlier due to high volume of applicants.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture Banking Computer Science Economics Engineering Excel Mathematics Python R RDBMS SAS Security SQL Statistics
Perks/benefits: Career development Flex hours Flex vacation Health care Insurance Medical leave Parental leave
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