GIS Analyst - Enterprise Location Intelligence

U.S. Bank•Minneapolis, MN
•$92,820 - $109,200•Hybrid

About The Position

The GIS Analyst turns location data into business strategy at U.S. Bank. Using geospatial analytics, market intelligence, customer insights, and automation, the analyst supports decisions about the branch and ATM network, customer access, market expansion, and growth opportunities. The role combines analytics, geography, technology, and business strategy, partnering with leaders across retail banking, marketing, risk, operations, and technology to solve business challenges and provide insights for enterprise decisions. The analyst conducts spatial analysis, evaluates markets, and develops trade area, accessibility, competitive, and service coverage analyses for network and site decisions. The role also builds and maintains analytical workflows and automation, supports predictive and scenario-planning initiatives, integrates geospatial data with enterprise systems, and creates maps, dashboards, reports, visualizations, and self-service tools. The analyst communicates recommendations to technical and non-technical stakeholders and supports enterprise GIS platforms, governance, data quality, privacy, compliance, and adoption. This role requires working from a U.S. Bank location three or more days per week and is not eligible for visa sponsorship. The salary range is $92,820 to $109,200, with actual pay potentially varying by role location. U.S. Bank offers a benefits package subject to eligibility requirements.

Requirements

  • Bachelor's degree in a related field, or equivalent work experience.
  • Four to five years of statistical and/or data analytics experience.
  • Strong analytical thinking, problem-solving, communication, and stakeholder engagement skills.
  • Ability to manage multiple priorities and translate business needs into actionable analytical solutions.

Nice To Haves

  • Three to five years of professional GIS, spatial analytics, location intelligence, or business analytics experience.
  • Experience with ArcGIS Pro, ArcGIS Enterprise or ArcGIS Online, geodatabases, spatial analysis, and cartographic production.
  • Advanced knowledge of Esri technologies, including Dashboards, Experience Builder, Survey123, Field Maps, and hosted feature services.
  • Proficiency with Python for geospatial automation and analysis, including ArcPy, ArcGIS API for Python, pandas, GeoPandas, and related libraries.
  • Working knowledge of SQL and relational databases, including the ability to query, validate, and document spatial and non-spatial datasets.
  • Experience with enterprise geodatabases, data warehouses, APIs, cloud storage, or cloud-based analytics environments.
  • Experience developing web GIS applications, self-service mapping tools, and business-facing analytical products.
  • Familiarity with demographic, customer, competitive, mobility, real estate, or market intelligence datasets.
  • Experience with business intelligence and visualization tools such as Power BI or Tableau.
  • Exposure to predictive modeling, spatial statistics, machine learning, GeoAI, network analysis, or optimization techniques.

Responsibilities

  • Conduct spatial analyses supporting branch, ATM, customer access, market planning, and network optimization decisions.
  • Evaluate market opportunities using customer behavior, demographics, competitive activity, mobility patterns, digital adoption, and other internal and external data sources.
  • Develop trade area, accessibility, competitive, and service coverage analyses for expansion, relocation, consolidation, and de novo site decisions.
  • Translate location intelligence into actionable business recommendations and strategic insights.
  • Develop and maintain repeatable analytical workflows using Python, SQL, ArcGIS Pro, ArcGIS Enterprise, and related technologies.
  • Support predictive modeling, site scoring, market potential, attrition risk, and scenario-planning initiatives through spatial data preparation and analysis.
  • Integrate geospatial data with enterprise data warehouses, APIs, cloud-hosted datasets, and business intelligence platforms.
  • Identify opportunities to automate processes, improve efficiency, and scale analytical solutions.
  • Create executive-ready maps, dashboards, StoryMaps, reports, and visualizations to communicate findings.
  • Translate analytical results into concise recommendations for senior leaders and business partners.
  • Develop self-service mapping tools and applications for business partners.
  • Present insights to technical and non-technical audiences and help stakeholders understand risks, opportunities, and business impacts.
  • Support enterprise geospatial platforms, hosted services, governance, security, and adoption initiatives.
  • Ensure geospatial data and analytical outputs meet standards for quality, privacy, compliance, and model governance.
  • Evaluate emerging GIS, spatial analytics, automation, and GeoAI capabilities and recommend practical applications.
  • Partner with cross-functional teams to define business needs, prioritize analytical work, and deliver decision-oriented insights.

Benefits

  • Healthcare (medical, dental, and 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 (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 hours worked, up to 80 hours per calendar year unless otherwise provided by law
  • Incentive and recognition programs
  • Equity stock purchase
  • Pension
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