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U.S. Bank

Data Science Analyst

Atlanta, GA, United States

Pay Range: $86,360.00 - $101,600.00

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Job details

Pay: Pay Range: $86,360.00 - $101,600.00
Posting language: English
Posted: Sep 15, 2026

Original job description

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

Build Solutions. Drive Insights. Influence Business Decisions.

Are you passionate about using data, automation, and emerging technologies to solve complex business challenges?

As a Data Science Analyst , you'll partner with teams across the organization to develop data-driven solutions that improve processes, uncover insights, and drive better business outcomes. This role offers exposure to a broad range of projects and stakeholders, providing opportunities to apply analytics, automation, and data science techniques to real-world business problems.

We're looking for someone who is naturally curious, technically skilled, and driven to go beyond reporting to identify patterns, generate meaningful insights, and build scalable solutions that create value.

What You'll Do

Transform Data Into Actionable Insights

Gather, integrate, and analyze data from multiple sources to answer business questions and identify opportunities.
Identify trends, patterns, and insights within large and complex datasets.
Apply statistical and analytical techniques to develop recommendations that support data-driven decision-making.
Present findings in a clear, concise manner that enables stakeholders to take action.

Build Scalable Solutions

Develop and enhance data science processes, analytical models, automation tools, and workflows.
Use SQL and Python to query, transform, and analyze large datasets.
Leverage technologies such as Databricks and Power Automate to improve efficiency and streamline processes.
Support the development of AI-enabled, machine learning, and automation solutions.

Partner Across the Business

Collaborate with stakeholders to understand business objectives and translate them into analytical solutions.
Deliver actionable recommendations that improve performance, efficiency, and decision-making.
Work across multiple business functions, providing analytical support on a diverse range of initiatives.
Measure and monitor outcomes of implemented recommendations and identify opportunities for continuous improvement.

Drive Innovation

Seek new ways to automate processes, improve analytics capabilities, and uncover insights.
Contribute to the growth of data science and automation practices across the organization.
Maintain high standards for data quality, governance, and compliance.

What Success Looks Like

Successful candidates are technically strong, intellectually curious, and proactive problem solvers. They take initiative, independently pursue answers, and continuously look for ways to improve processes and deliver business value. They are equally comfortable working with data and engaging stakeholders to communicate findings and recommendations.

Basic Qualifications

Bachelor's degree in a related field, or equivalent work experience
Four to five years of statistical and/or data analytics experience

Preferred Skills & Experience

Experience in analytics, advanced analytics/statistics, and predictive modeling
Strong analytical skills with the ability to extract, collect, organize, analyze, and interpret trends or patterns in complex datasets
Experience with SQL and Python for data extraction, transformation, analysis, and automation
Experience with Databricks, automation technologies, or data engineering concepts
Experience developing analytical models, workflows, automation solutions, or AI-enabled capabilities
Ability to translate data into actionable business insights and recommendations
Demonstrated project management skills
Effective interpersonal, verbal, and written communication skills
Experience partnering with stakeholders and presenting analytical findings to diverse audiences

Why Join Us?

This role offers the opportunity to work on a wide variety of business challenges while building innovative solutions that have measurable impact. You'll collaborate with teams across the organization, apply modern analytics and automation technologies, and help shape the future of data-driven decision-making.

Location expectations

This role requires working from a U.S. Bank location three (3) or more days per week.

This position is not eligible for visa sponsorship.

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 (https://careers.usbank.com/global/en/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:

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

Review our full benefits available by employment status here (https://careers.usbank.com/global/en/benefits/us) .

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 (https://careers.usbank.com/verification-of-eligibility-for-employment) .

The salary range reflects figures based on the primary location, which is listed first. The actual range for the role may differ based on the location of the role. In addition to salary, U.S. Bank offers a comprehensive benefits package, including incentive and recognition programs, equity stock purchase 401(k) contribution and pension (all benefits are subject to eligibility requirements). Pay Range: $86,360.00 - $101,600.00

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.

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