GIS Analyst, Enterprise Location Intelligence

US Bank

Confirmed live today High trust
Closes in 5 days

Quick summary

Work type
On-site
Location
Minneapolis, MN
Employment
Full-time
Posted
6 days ago
Freshness
Confirmed live today
Closes
Oct 9, 2026 (soon)

Market check

Salary context

How this pay compares to similar roles

Similar $149k
$106k most similar roles pay here $189k

This listing doesn't post a salary. Most similar roles pay $117,000–$181,300.

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 50 open roles on FindRole.

Listed pay typically runs $111,605–$131,300 across 30 roles with salary data.

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At a glance

TL;DR · GIS Analyst, Enterprise Location Intelligence

GIS Analyst - Enterprise Location Intelligence As a GIS Analyst, you will join a team focused on transforming location data into actionable business strategy for the retail banking sector. You will perform spatial analyses to guide decisions regarding branch and ATM networks, market expansion, and customer access strategies. Your daily responsibilities include developing repeatable analytical workflows, creating executive-ready maps and dashboards, and building self-service mapping tools to solve complex business challenges. To succeed, you must utilize a technical stack including ArcGIS Pro, ArcGIS Enterprise, and ArcGIS Online, alongside Python libraries like ArcPy, pandas, and GeoPandas. You will also leverage SQL for querying relational databases and integrate geospatial data with enterprise warehouses and APIs. This role addresses the critical challenge of using market intelligence, demographics, and mobility patterns to optimize physical infrastructure and drive growth across a nationwide financial network.

What you'll do

  • Perform spatial analyses to support branch, ATM, and customer access network optimization decisions.
  • Evaluate market opportunities using demographics, competitive activity, mobility patterns, and other internal data sources.
  • Develop and maintain repeatable analytical workflows using Python, SQL, and ArcGIS technologies.
  • Integrate geospatial data with enterprise warehouses, APIs, and cloud-hosted datasets to automate processes.
  • Create executive-ready maps, dashboards, and visualizations to communicate complex findings to stakeholders.
  • Build self-service mapping tools and applications for business partners to explore location intelligence.
  • Ensure all geospatial data and analytical outputs meet standards for quality, privacy, and compliance.
  • Identify and implement emerging GIS capabilities, such as GeoAI and predictive modeling, to improve efficiency.

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.
  • 3 to 5 years of professional GIS, spatial analytics, location intelligence, or business analytics experience (preferred).
  • Experience with ArcGIS Pro, ArcGIS Enterprise, ArcGIS Online, geodatabases, spatial analysis, and cartographic production (preferred).
  • Advanced knowledge of Esri technologies including Dashboards, Experience Builder, Survey123, Field Maps, and hosted feature services (preferred).
  • Proficiency with Python for geospatial automation using ArcPy, ArcGIS API for Python, pandas, and GeoPandas (preferred).
  • Working knowledge of SQL and relational databases to query, validate, and document datasets (preferred).
  • Experience with business intelligence tools like Power BI or Tableau; predictive modeling, machine learning, or network analysis (preferred).

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