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Spatial Data Analyst Jobs (NOW HIRING)

Iapetus Holdings LLC

Data Analyst

Dallas, TX · On-site

Experience with GIS tools and spatial data analysis. * Understanding of data governance and compliance requirements. What We Offer: * Competitive salary and benefits package. * Opportunity to work on ...

Lynker Corporation

Geospatial Data Analyst

Charleston, SC · On-site

$78K - $92K/yr

Familiarity with marine spatial data * 5+ years of documented GIS experience using ESRI and open ... Analyst will have the following: * Marine science background * Experience with ESRI Portal ...

H-GAC

Data Analyst

Houston, TX

... and spatial analysis techniques to support scenario planning. * Conduct simulations to evaluate ... Collect, clean, and validate demographic, economic, and geographic data from public and private ...

RecruitTalent LLC.

GIS Analyst

Suffolk, VA · On-site

We are seeking a skilled GIS Analyst to manage and analyze spatial data to support decision-making processes. The ideal candidate will have at least 5 years of professional experience, a bachelor ...

Piper Networks

Point Cloud Data Analyst

San Diego, CA · On-site

They are seeking a Point Cloud Data Analyst to analyze lidar scans and ensure their alignment to ... spatial data or 3D software (hobby level included) Company : Piper Networks is a new train and ...

Dev Technology

Senior Data Analyst

Vienna, VA · On-site

$86K - $108K/yr

Conduct spatial data analysis using GIS software (ArcGIS) * Clean and preprocess data, handling inconsistencies and outliers using tools like SQL and Excel to prepare it for analysis. * Design and ...

Houston Galveston Area Council

Data Analyst

Houston, TX · On-site

$60K - $75K/yr

... and spatial analysis techniques to support scenario planning. * Conduct simulations to evaluate ... Respond to data requests related to population, employment, and land use from local governments ...

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How much do spatial data analyst jobs pay per year?

As of Jun 25, 2026, the average yearly pay for spatial data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What are some typical projects or tasks a Spatial Data Analyst might work on?

Spatial Data Analysts often work on a variety of projects involving the collection, management, and analysis of geographic data, such as mapping environmental patterns, optimizing logistics routes, or supporting urban planning initiatives. On a daily basis, they may clean and process datasets, generate detailed maps, create visualizations and reports, and provide insights to inform project decisions. Collaboration with engineers, urban planners, environmental scientists, and IT professionals is common, making teamwork and clear communication essential. These tasks are integral to helping organizations make data-driven decisions that rely on spatial information.

What does a Spatial Data Analyst do?

A Spatial Data Analyst collects, analyzes, and interprets geographic and spatial data to support decision-making in various industries. They use Geographic Information Systems (GIS) and other analytical tools to visualize patterns, create maps, and develop models based on spatial data. Their work helps businesses, governments, and organizations optimize operations, plan infrastructure, and manage resources effectively.

What is the top GIS salary?

The highest GIS salaries for experienced Spatial Data Analysts can exceed $100,000 annually, especially in high-demand industries or regions with a strong tech or government presence. Salaries vary based on experience, certifications, and technical skills such as proficiency in ArcGIS or QGIS, with senior roles and specialized expertise commanding the top pay.

Is GIS a high demand job?

GIS (Geographic Information Systems) and spatial data analyst roles are in high demand across industries such as urban planning, environmental management, and transportation due to the increasing reliance on spatial data for decision-making. These jobs often require proficiency in GIS software like ArcGIS or QGIS and relevant certifications, with employment opportunities expected to grow as data-driven approaches expand.

Will GIS be overtaken by AI?

GIS (Geographic Information Systems) professionals, including Spatial Data Analysts, use AI to enhance data processing, pattern recognition, and predictive modeling. While AI automates certain tasks, GIS skills remain essential for interpreting spatial data, designing workflows, and ensuring data accuracy, making AI a complementary tool rather than a replacement.

What are the key skills and qualifications needed to thrive in the Spatial Data Analyst position, and why are they important?

To thrive as a Spatial Data Analyst, you need strong skills in GIS (Geographic Information Systems), spatial data analysis, database management, and a solid understanding of geography or related fields, often supported by a relevant degree. Familiarity with tools like ArcGIS, QGIS, SQL, Python, and sometimes certifications such as GISP are highly valuable. Attention to detail, problem-solving abilities, and effective communication enhance collaboration with teams and stakeholders. These competencies ensure accurate spatial analysis, meaningful data-driven insights, and effective decision-making in diverse industries.

What is a spatial data analyst?

A spatial data analyst is a professional who collects, analyzes, and interprets geographic data to support decision-making. They often use GIS (Geographic Information Systems) tools and spatial analysis techniques to visualize patterns and solve location-based problems.
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Spatial Data Analyst jobs near you
Senior Conservation Data Analyst/Engineer - 26078

Senior Conservation Data Analyst/Engineer - 26078

World Wildlife Fund

Washington, DC • Hybrid

$90K - $113K/yr

Full-time

Posted 28 days ago

Job description

World Wildlife Fund (WWF), one of the world’s leading conservation organizations, seeks a Senior Conservation Data Analyst/Engineer to join its Global Science team. 

Help WWF revolutionize the way we use data and technology toidentifyconservation opportunities and measure andmonitorthe impacts of our conservation efforts. The Senior Conservation Data Analyst/Engineer will work with the Global Science team and the WWF network to analyze and maintain environmental and socio-economic data including, but not restricted to, WWF acquired data, government supplied data, commercially acquired data sets, and remotely sensed and in-situ spatial data. The Senior Conservation Data Analyst/Engineer will have broad experience with statistics, data visualization, data management, cloud-based data analysis infrastructures, and current data delivery mechanisms.Understanding ofconservation issues on global and local scales is an asset, as is experience working with multiple organizations to harmonize data and data management approaches. The key roles of the data analyst/engineer are to analyze and visualize existing data, work with WWF teams (including Global Science)in developing new analysis approaches, implement methodologies, anddevelop and maintain data storage and management systems, analysis pipelines, and visualization platforms.This position will be responsible for contributing to the advancement of automated and semi-automated approaches for efficient and responsive geospatial data processing and analyses for key conservation metrics.  

Salary Range: $90,900 - $113,600

This position is hybrid in DC, with 2 days in the office (not eligible for relocation; applicants must relocate themselves).

Please note: Applicants must be legally authorized to work in the U.S. This position is not eligible for employment visa sponsorship.

In compliance with federal law, all persons hired willbe required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. 


  • Support the development and application of data analysis and visualization methodologies and pipelines with the WWFscientistsand program managers. 

  • Manage product and projects to deliver key outputs including the Conservation Navigator 

  • Perform analyses for select projects; apply advanced statistical and spatial analysis and programming as needed. 

  • Manage GIS software licensing and distribute software licenses to all users in the Network. 

  • Coordinate with software vendors to obtain and renew licenses and to handle support requests. 

  • Maintain data repositories, including GIS servers (e.g., Google Earth Engine, ArcGIS Enterprise, and ArcGIS Online) by keeping software up to date. Maintain knowledge of other data platforms, including cloud-based platforms (e.g., AWS, Google Cloud, Azure) and cloud-based relational databases for use as needed. 

  • Develops and maintains data storage management systems, analysis pipelines, and visualization platforms to support conservation data needs. 

  • Collaborates with WWF teams to develop and implement new analytical approaches and methodologies. 

  • Analyzes and visualizes environmental and socioeconomic data to support decision-making and conservation outcomes. 

  • Evaluates and applies new developments in technology, data analysis and open-source tools for analysis and data visualization (e.g.D3.js, QGIS, AI). 

  • Other duties as assigned. 

Key Competencies  

  • Analytical Thinking: Collects, interprets, and evaluates complex information to identify trends, uncover insights, and support informed decision-making. Applies critical thinking and sound judgment to assess risks, challenge assumptions, and develop data-driven recommendations.

  • Data Communication and Visualization: Translates complex data and technical findings into clear, concise, and actionable insights for diverse audiences. Develops effective visualizations, reports, and presentations that support strategic decision-making and stakeholder understanding.

  • Project Ownership: Takes full accountability for planning, executing, and delivering projects from initiation through completion. Proactively manages priorities, timelines, stakeholders, and risks to ensure successful outcomes and continuous improvement.

  • Problem Solving in Complexity: Navigates ambiguous and multifaceted challenges by identifying root causes, evaluating competing priorities, and developing practical solutions. Demonstrates adaptability and strategic thinking in fast-paced or evolving environments.


  • 6+ years of professional experience in data analysis or data engineering -OR- 3+ years with an advanced degree in GIS, geography, computer science, data science, environmental science (with a quantitative focus), or a related field.)

  • In day-to-day work, ability to routinely automate geospatial analyses, data processing, and reporting using tools such as ArcGIS, QGIS, Python, or others, rather than relying on manual workflows. 

    • Working knowledge of cloud-based platforms for data storage, processing, and analysis. 

    • Proficiency in data Python and/or R for data analysis and automation. Working knowledge of JavaScript for web mapping applications.  

    • Comfort using AI-assisted workflows, including large language models (LLMs) or AI coding tools to help write code, automate repetitive geospatial tasks, or accelerate data processing pipelines.  

    • Exposure to and familiarity with environmental or spatial modeling concepts and familiarity with preparing model inputs and interpreting outputs. 

    • Solid project management skills with the ability to produce high quality work under time constraints. 

    • Conservation Experience and AI agility strongly preferred
    • Experience with AI tools in an ArcGIS or Python environment is a plus (The curiosity and a willingness to grow with these tools is important and desired) 

  • Demonstrated experience applying analytical or engineering skills in a geospatial context is strongly preferred.

  • Proven ability to work collaboratively in a matrixed team environment. 

  • Excellent interpersonal skills requiring knowing when to use courtesy,tactand/or diplomacy to effectively communicate with all constituents. 

  • Ability todemonstrateintegrity in deliverables, behavior, and demeanor. 

  • Ability to show respect for the organization, the work, the team, and self. 

  • Committed to building and strengthening a culture of inclusion within and across teams. 

  • Identifies and aligns with WWF’s core values: 

    • COURAGE – We demonstrate courage through our actions, we work for change where it’s needed, and we inspire people and institutions to tackle the greatest threats to nature and the future of the planet, which is our home. 

    • INTEGRITY – We live the principles we call on others to meet. We act with integrity, accountability, and transparency, and we rely on facts and science to guide us and to ensure that we learn and evolve. 

    • RESPECT – We honor the voices and knowledge of people and communities that we serve, and we work to secure their rights to a sustainable future. 

    • COLLABORATION – We deliver impact at the scale of the challenges we face through the power of collective action and innovation. 

To Apply: 

  • Submit cover letter and resume through our Careers Page, Requisition #26078
  • Due to the high volume of applications, we are not able to respond to inquiries via phone 

  

World Wildlife Fund (WWF) promotes equal employment opportunities for all qualified individuals regardless of age, race, color, sex, religion, national origin, disability, or veteran status, or any other characteristic protected under applicable law. 

Apply