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Senior Spatial Data Analyst Jobs in Portland, ME

Td

Data Scientist III - FCRM

Portland, ME · On-site

$96K - $155K/yr

Position typically deals with senior/executive management * Works independently on activities related to analysis, design and support of technical data management solutions on various projects ...

TEKsystems

Data Scientist

Westbrook, ME

$48/hr

... analyzer capabilities • Contribute to model development, evaluation, and iteration under the guidance of a senior data scientist • Partner with senior team members to understand requirements ...

New

TEKsystems

Data Scientist

Westbrook, ME

$48/hr

... analyzer capabilities • Contribute to model development, evaluation, and iteration under the guidance of a senior data scientist • Partner with senior team members to understand requirements ...

New

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Showing results 21-40

All JobsSpatial Data Analyst JobsSenior Spatial Data Analyst JobsSenior Spatial Data Analyst Jobs in Portland, ME

Senior Spatial Data Analyst information

See Portland, ME salary details

$56.3K

$101.5K

$138.6K

How much do senior spatial data analyst jobs pay per year?

As of Aug 22, 2026, the average yearly pay for senior spatial data analyst in Portland, ME is $101,525.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,000.00 and $111,000.00 per year, depending on experience, location, and employer.

What is a senior spatial data analyst?

Senior Spatial Data Analysts are experienced professionals who specialize in analyzing and interpreting spatial or geographic data using tools such as Geographic Information Systems (GIS). They manage large datasets, perform spatial modeling, and generate maps or visualizations to support decision-making in various industries such as urban planning, environmental science, and logistics. Senior analysts often lead projects, mentor junior staff, and develop methodologies to solve complex spatial problems. Their expertise is crucial for organizations that rely on accurate geographic data to make strategic decisions.

How does a senior spatial data analyst typically collaborate with other teams within an organization?

Senior Spatial Data Analysts often work closely with multidisciplinary teams, such as GIS specialists, data engineers, urban planners, and decision-makers, to translate spatial data into actionable insights. Collaboration usually involves gathering project requirements, sharing spatial analyses, and presenting findings in clear visual formats. Analysts may also be called upon to provide technical expertise during project planning sessions and to support colleagues in understanding how spatial data can inform business strategies. This collaborative environment not only enhances project outcomes but also encourages continuous professional growth through knowledge sharing.

What are the key skills and qualifications needed to thrive as a senior spatial data analyst, and why are they important?

To thrive as a Senior Spatial Data Analyst, you need advanced expertise in GIS, spatial data analysis, and data management, typically supported by a relevant degree in geography, computer science, or a related field. Mastery of GIS software (such as ArcGIS or QGIS), programming languages (like Python or R), and familiarity with spatial databases are essential, along with certifications like GISP being advantageous. Strong problem-solving, attention to detail, and effective communication help you interpret complex data and convey insights to stakeholders. These skills ensure accurate spatial analysis, support strategic decision-making, and drive project success in data-driven environments.

What is the difference between Senior Spatial Data Analyst vs GIS Analyst?

AspectSenior Spatial Data AnalystGIS Analyst
Required CredentialsBachelor's or Master's in Geography, GIS, or related field; experience in spatial analysisBachelor's in Geography, GIS, or related field; some roles may require certifications
Work EnvironmentAdvanced projects, data management, and analysis; often in urban planning, environmental, or government sectorsData mapping, GIS software operation, and spatial data visualization in various industries
Employer & Industry UsageGovernment agencies, environmental firms, urban planning departmentsMunicipalities, consulting firms, environmental agencies

The Senior Spatial Data Analyst typically handles complex spatial data analysis, project leadership, and data management, often requiring more experience and advanced skills than a GIS Analyst. While both roles work with GIS software and spatial data, the Senior role involves higher-level decision-making and project oversight.

What are the most commonly searched types of Spatial Data Analyst jobs in Portland, ME?

The most popular types of Spatial Data Analyst jobs in Portland, ME are:

What are popular job titles related to Senior Spatial Data Analyst jobs in Portland, ME?

For Senior Spatial Data Analyst jobs in Portland, ME, the most frequently searched job titles are:

What job categories do people searching Senior Spatial Data Analyst jobs in Portland, ME look for?

The top searched job categories for Senior Spatial Data Analyst jobs in Portland, ME are:

What cities near Portland, ME are hiring for Senior Spatial Data Analyst jobs?

Cities near Portland, ME with the most Senior Spatial Data Analyst job openings:

Senior Spatial Data Analyst jobs near you
Infographic showing various Senior Spatial Data Analyst job openings in Portland, ME as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $101,525 per year, or $48.8 per hour.

Senior AI Programmer Analyst

University of New England Career Opportunities

Biddeford, ME • On-site

$46.50 - $63/hr

Full-time

Medical, Dental, Retirement, PTO

Re-posted 21 days ago

Job description

Position Information
Position Type Professional Staff Faculty Track Position Title Senior AI Programmer Analyst Employment Status Full Time Months 12 Campus Portland, ME Description
The Senior AI Programmer Analyst is an individual contributor responsible for the design, development, deployment, and ongoing optimization of artificial intelligence and machine learning solutions that advance the university's academic, administrative, and research missions. Reporting to the Director of Data, Intelligence, and Automation or designated ITS leadership, this role serves as a subject matter expert in applied AI and works in close collaboration with ITS teams, academic departments, and institutional stakeholders to deliver responsible, scalable, and impactful AI capabilities. The Senior AI Programmer Analyst applies deep technical expertise to solve complex problems, leads the development of AI standards and best practices, and ensures all solutions align with institutional policy, data governance requirements, and ethical AI principles
About the University of New England
UNE is Maine's largest private university, with two beautiful coastal campuses in Maine, a one-of-a-kind study-abroad campus in Tangier, Morocco, and an array of flexible online offerings. In an uncommonly welcoming and supportive community, we offer hands-on learning, empowering students to positively impact a world full of challenges. We are the state's top provider of health professionals and home to Maine's only medical and dental colleges, a variety of other interprofessionally aligned health care programs, and nationally recognized programs in the marine sciences, the natural and social sciences, business, the humanities, and the arts.
Benefits Overview
UNE offers a generous comprehensive benefits package to eligible employees. The package includes varied health and dental plans; a retirement plan that includes up to an 8% match; extensive paid leave including holidays, vacation, sick and personal time; and educational benefits. Please visit the Human Resources Benefits site (https://www.une.edu/hr/benefits) for additional information regarding UNE's fantastic benefits package.
Responsibilities
AI Development & Implementation
  • Design, build, test, and deploy AI/ML models, pipelines, and applications
  • Develop solutions using large language models (LLMs), generative AI, and retrieval-augmented generation (RAG)
  • Write clean, maintainable code (primarily in Python) following best practices
  • Evaluate and implement AI tools, frameworks, and platforms (e.g., Azure OpenAI, Hugging Face, LangChain)
  • Build and maintain data pipelines to support model training and deployment
Enterprise Integration & Collaboration
  • Integrate AI solutions with enterprise systems (ERP, SIS, CRM, LMS, etc.) using APIs and modern architectures
  • Collaborate with technical teams to ensure solutions are secure, scalable, and high-performing
  • Support data quality efforts and develop monitoring tools to track model performance
AI Governance & Responsible Use
  • Apply responsible AI principles, including fairness, transparency, and data privacy
  • Conduct model evaluations, bias assessments, and risk analyses
  • Ensure compliance with institutional policies and regulations (e.g., FERPA, HIPAA)
  • Contribute to AI governance frameworks and documentation
Technical Leadership & Engagement
  • Serve as a technical resource and mentor for AI-related work
  • Lead knowledge-sharing activities and promote AI literacy across the organization
  • Partner with stakeholders to define use cases and translate technical concepts into clear solutions
  • Participate in projects, working groups, and AI strategy initiatives
  • Other duties as assigned
Qualifications
Bachelor's degree in computer science, information systems, information technology, or a closely related field; or an equivalent combination of education and professional experience.
  • Minimum of three to five years of progressively responsible experience in enterprise systems administration, configuration, development, or support in a complex multi-system environment.
  • Demonstrated experience with at least one major enterprise student information and/or ERP platform (for example, Ellucian Banner, Oracle Student, Workday Student, or equivalent).
  • Experience developing and maintaining system integrations using APIs, ETL tools, middleware platforms, or file-based exchange methods.
  • Proficiency in one or more programming or scripting languages relevant to enterprise systems development (for example, SQL, PL/SQL, Python, Java, Groovy, or Apex).
  • Solid understanding of relational database concepts and the ability to write and optimize complex queries for reporting, integration, and troubleshooting purposes.
  • Knowledge of enterprise systems security administration, role-based access control, and data governance principles.
  • Strong analytical and problem-solving skills with the ability to translate functional requirements into effective technical solutions. Excellent written and verbal communication skills with the ability to explain technical concepts and system behavior to non-technical functional partners.
  • Ability to work effectively across organizational boundaries with diverse stakeholders including administrative offices, academic departments, and external vendors.
  • Commitment to data privacy, information security, and institutional policy compliance.
Preferred Qualifications
  • Experience with multiple enterprise platforms spanning student, ERP, SIS, HR, financial, and CRM functions in a higher education setting.
  • Hands-on experience with Salesforce or another enterprise CRM platform, including configuration, custom development, and integration.
  • Familiarity with higher education-specific data standards and reporting requirements (for example, IPEDS, NSC, Common App, state reporting).
  • Experience with identity management and single sign-on integration (for example, LDAP, SAML, Shibboleth, Microsoft Entra ID) as it relates to enterprise system access.
  • Knowledge of cloud-hosted enterprise platform models (SaaS) and experience managing vendor-hosted system environments.
  • Experience supporting or participating in major enterprise system implementations or upgrades.
  • Relevant vendor or platform certifications (for example, Salesforce Administrator, Workday Pro, Ellucian certifications).
  • Experience with agile or iterative delivery methods in an enterprise systems context.
EEO Statement Summary
Consistent with federal and state law and University policy, the University of New England is committed to the fundamental concept of equal opportunity for all of the members of the University community. The University prohibits, and will not tolerate, discrimination in employment, the provision of academic services or in any other area of University life based on race, color, sex, physical or mental disability, religion, age, ancestry, national origin, sexual orientation, gender identity and/or expression, ethnicity, genetic information, HIV status, or status as a veteran. Prohibited bias factors should not motivate decisions regarding students, employees, applicants for admission, applicants for employment, contractors, volunteers or participants in and/or users of institutional programs, services, and activities.
Vaccination Statement (PLEASE NOTE)
Employees in clinical settings must meet the State of Maine's immunization requirements for clinical activity.
Additional Note
This position is not eligible for H-1B visa sponsorship.
Anticipated Pay Range $95,000 - $102,000
Posting Detail Information
Posting Number 2022PS0908P Open Date 06/02/2026 Close Date Open Until Filled Yes

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