Data Science Analyst

US Bank

Confirmed live today High trust
Closes in 3 days Hybrid

Quick summary

Work type
Hybrid
Location
Atlanta, GA
Salary
$86,360–$101,600 / yr
Employment
Full-time
Posted
12 days ago
Freshness
Confirmed live today
Closes
Oct 30, 2026 (soon)

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $146k
This role $94k
$75k $193k
below market most similar roles pay here above market

This role pays less than 99% of similar roles. Most pay $126,800–$165,665 — the blue band above. At the midpoint, this role pays about $94k versus about $146k for comparable roles.

Based on 240 similar postings.

Employer

About US Bank

U.S. Bank (U.S. Bancorp) is the fifth-largest bank in the United States, providing retail banking, corporate and commercial banking, wealth management, and payment services to millions of customers. Industry: Banking & Financial Services

US Bank currently has 47 open roles on FindRole.

Listed pay typically runs $119,765–$140,900 across 29 roles with salary data.

Most-posted roles

View all roles at US Bank

At a glance

TL;DR · Data Science Analyst

As a Data Science Analyst, you will join a team dedicated to developing data-driven solutions that improve processes and drive better business outcomes across the organization. You will gather, integrate, and analyze data from multiple sources to identify trends and patterns within complex datasets. Your daily responsibilities include building scalable analytical models, automation tools, and workflows while translating findings into actionable recommendations for diverse stakeholders. You will utilize SQL and Python for data extraction, transformation, and analysis, while leveraging technologies such as Databricks and Power Automate to streamline operations. The role involves supporting the development of AI-enabled and machine learning capabilities to solve real-world business problems. You must maintain high standards for data quality, governance, and compliance while providing analytical support for various initiatives.

What you'll do

  • 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 using statistical and analytical techniques.
  • Develop and enhance data science processes, analytical models, automation tools, and workflows.
  • Use SQL and Python to query, transform, and analyze large datasets.
  • Leverage Databricks and Power Automate to improve efficiency and streamline business processes.
  • Support the development of AI-enabled, machine learning, and automation solutions.
  • Translate business objectives into analytical solutions and deliver actionable recommendations to stakeholders.
  • Maintain high standards for data quality, governance, and compliance across the organization.

What we're looking for

  • Bachelor's degree in a related field or equivalent work experience.
  • Four to five years of statistical and/or data analytics experience.
  • Experience in analytics, advanced analytics/statistics, and predictive modeling (preferred).
  • Experience with SQL and Python for data extraction, transformation, analysis, and automation (preferred).
  • Experience with Databricks, automation technologies, or data engineering concepts (preferred).
  • Experience developing analytical models, workflows, automation solutions, or AI-enabled capabilities (preferred).
  • Ability to translate data into actionable business insights and recommendations (preferred).
  • Demonstrated project management skills and effective communication skills (preferred).

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