GIS & Data Analyst

Campbell Management Group LLC
Pittsburgh, United States of America
27 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Intermediate

Job location

Pittsburgh, United States of America

Tech stack

Microsoft Excel
Geographic Information Systems
Data analysis
ArcGIS (Software)
Data Integrity
Excel Formulas
Geocoding
Python
Pivot Tables
Quantum GIS (QGIS)
Power BI
SQL Databases
Tableau
Macros
Data Analytics

Job description

We're looking for a talented GISData Analyst to join our team in our Pittsburgh, PA location. This candidate will support branch network strategy for banks and credit unions by combining GIS, demographic data and financial performance data to identify growth opportunities, optimize existing networks, and inform executive decision-making. This role will connect spatial analysis, financial analysis, and business strategy, producing clear, actionable insights for senior leaders and business development teams., * Build and maintain branch, ATM, and market datasets, cleaning input files, and standardizing attributes.

  • Perform analyses of geographic areas.
  • Develop clear maps, dashboards, and presentations that translate technical analysis into intuitive stories for executives, lenders, and retail leadership.
  • Collaborate with internal stakeholders (project managers, relationship managers, executives).
  • Document data sources, methods, assumptions, and key metrics.
  • Contribute to the continuous improvement of templates, tools, workflows, and deliverables.

Requirements

  • Bachelor's degree in Geography, GIS, Data Analytics, Economics, Finance, Urban Planning, or related field.
  • 3-5 years' experience working with GIS software (e.g., ArcGIS Pro / ArcGIS Online or QGIS) for spatial analysis, geocoding, and map production
  • Strong skills in data analysis tools such as Excel (including advanced functions, pivot tables; macros a plus) and at least one of: SQL, Python, or R.
  • Strong communication skills, with the ability to translate technical findings into concise, non-technical narratives and visualizations for business stakeholders.
  • Detail-oriented mindset, with emphasis on data integrity, reproducibility, and clear documentation.
  • Experience in retail banking, credit unions, financial services consulting, or retail site selection is preferred.
  • Preferred experience building interactive dashboards (e.g., ArcGIS Dashboards, Power BI, Tableau) for internal or client-facing use.

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