Geospatial Insights Analyst for Retail Strategy

F.N.B. Corporation

Pittsburgh (Allegheny County)

On-site

USD 75,000 - 100,000

Full time

14 days+

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Job summary

F.N.B. Corporation in Pittsburgh seeks a Geospatial Data Analyst to leverage geospatial data and Esri tools for retail channel optimization and branch distribution. You will gather, transform, and analyze data to provide insights used by senior leadership for strategic decisions.

The role requires proficiency in SQL, Python, and Excel, plus maintaining data integrity, building GIS dashboards, and documenting processes. BA/BS and 5 years of related experience preferred.

Qualifications

  • BA or BS required for primary responsibilities.
  • Experience with geospatial data and analytics preferred.
  • Strong written and verbal communication skills expected.

Responsibilities

  • Perform advanced geospatial and data analytics using Esri, SQL, Python, and Excel.
  • Build and maintain a process library for Retail Channel data workflows.
  • Maintain accurate geospatial data for retail locations across departments.
  • Develop GIS dashboards to support decision making in retail operations.
  • Pursue ongoing education in GIS, data analysis, and regulatory matters.
  • Support requests from other bank departments as needed.
  • Perform other related duties and projects as assigned.

Skills

Excellent communication
Detail-oriented
Multitasking
Organizational skills
Analytical skills
Interpersonal skills

Education

BA or BS

Tools

Esri GIS Platform
Python
SQL
MS Word
MS Excel
MS PowerPoint

Job description

F.N.B. Corporation in Pittsburgh seeks a Geospatial Data Analyst to leverage geospatial data and Esri tools for retail channel optimization and branch distribution. You will gather, transform, and analyze data to provide insights used by senior leadership for strategic decisions.

The role requires proficiency in SQL, Python, and Excel, plus maintaining data integrity, building GIS dashboards, and documenting processes. BA/BS and 5 years of related experience preferred.

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