Data Science Analyst

US Bank

Atlanta (GA)

On-site

USD 95,000 - 135,000

Full time

5 days ago
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Job summary

U.S. Bank is seeking a Data Science Analyst to partner with teams across the organization to develop data-driven solutions that improve processes, uncover insights, and drive better business outcomes.

This role emphasizes applying analytics, automation, and machine learning techniques to real-world problems, offering exposure to diverse projects and stakeholders to help shape data-driven decisions from Day One.

Qualifications

  • Bachelor's degree in a related field or equivalent work experience.
  • Experience with statistical analysis and data analytics.
  • Experience with SQL and Python for data extraction, transformation, and automation.

Responsibilities

  • 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 clearly to enable stakeholders to take action.

Skills

Statistical analytics
Data analytics
Predictive modeling
Strong communication
Project management

Education

Bachelor's degree in a related field

Tools

SQL
Python
Databricks
Automation technologies

Job description

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.


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 .


Benefits

Our approach to benefits and total rewards considers our team members' whole selves and what may be needed to thrive in

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