Data Science Analyst

US Bank

Confirmed live yesterday High trust
Closes in 4 days

Quick summary

Work type
On-site
Location
Atlanta, GA
Salary
$86,360–$101,600 / yr
Posted
3 days ago
Freshness
Confirmed live yesterday
Closes
Sep 21, 2026 (soon)
Nearby
99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $156k
This role $94k
$74k most similar roles pay here $204k

This role pays less than 98% of similar roles. Most pay $126,800–$184,225 — the shaded band above. At the midpoint, this role pays about $94k versus about $156k 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 32 open roles on FindRole.

Listed pay typically runs $119,765–$140,900 across 30 roles with salary data.

Most-posted roles

View all roles at US Bank

At a glance

TL;DR · Data Science Analyst

Role Posting Log in to save

As a Data Science Analyst, you will join a team dedicated to developing data-driven solutions that improve processes and uncover insights across various business functions. You will be responsible for gathering and integrating data from multiple sources, identifying trends within complex datasets, and applying statistical techniques to provide actionable recommendations for stakeholders. Your daily work involves building scalable analytical models, automation tools, and workflows to enhance efficiency. To succeed in this role, you must possess proficiency in SQL and Python for data extraction and transformation, along with experience using Databricks and Power Automate. You will also support the development of AI-enabled and machine learning capabilities. The core of your work involves solving complex business challenges by translating raw data into meaningful insights to drive better decision-making and improve overall organizational performance.

Skills

Python SQL Databricks Power Automate Machine Learning AI Data Science Predictive Modeling Statistics Automation Data Engineering Analytics

What you'll do

  • Gather, integrate, and analyze data from multiple sources to identify trends and business opportunities.
  • Apply statistical and analytical techniques to develop recommendations for data-driven decision-making.
  • Use SQL and Python to query, transform, and analyze large datasets.
  • Develop and enhance data science processes, analytical models, and automation tools using Databricks and Power Automate.
  • Support the development of AI-enabled, machine learning, and automation solutions.
  • Translate complex business objectives into actionable analytical solutions for various stakeholders.
  • Measure and monitor the outcomes of implemented recommendations to identify areas for continuous improvement.
  • Maintain high standards for data quality, governance, and compliance across all projects.

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).
  • Strong analytical skills to extract, organize, and interpret trends in complex datasets (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 communicate findings to diverse audiences (preferred).

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