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We are looking for a Business Analyst to join a long-term contract opportunity in St Paul, Minnesota. In this role, you will support enterprise geospatial and business intelligence initiatives by turning operational needs into practical automation and data solutions. You will partner with logistics and business teams to improve planning, reporting, and decision-making through scalable analytical tools and well-structured data processes.
Job Responsibility
Partner with business and logistics stakeholders to collect needs, clarify priorities, and translate operational goals into effective analytical and automation solutions
Design, build, and maintain geospatial and data-driven workflows that support territory planning, route optimization, and broader business operations
Develop reliable pipelines and automated processes using tools such as SQL, Python, and cloud-based technologies to improve consistency and visibility across datasets
Analyze business, spatial, and operational information to identify trends, measure outcomes, and provide insights that support strategic decisions
Create reports, dashboards, and supporting documentation that help users understand results and act on data with confidence
Contribute to the design and enhancement of enterprise platform capabilities by researching methods, evaluating options, and recommending practical improvements
Work closely with cross-functional teams to ensure solutions are scalable, durable, and aligned with compliance, operational, and performance expectations
Support ongoing issue review, testing, and refinement of database and automation solutions to improve efficiency, accuracy, and user adoption
Requirements
Experience in business analysis, analytics, application support, or a related role involving data-driven decision-making
Working knowledge of SQL and Python for querying, automation, and data processing tasks
Familiarity with reporting, planning, logistics, or operations environments where data is used to guide business performance
Ability to communicate clearly with stakeholders and translate technical concepts into practical business language
Understanding of database structures, spreadsheet-based analysis, and process design principles
Strong research, problem-solving, and review skills with the ability to evaluate methods and recommend improvements
Exposure to automation, optimization, or cloud technologies in a business or enterprise setting
Proven ability to manage multiple priorities while maintaining accuracy, organization, and customer-focused support