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Internship Spatial Data Analyst Jobs (NOW HIRING)

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 ...

Spatial Data Logic

GIS Coordinator

You'll ensure local government agencies can analyze, visualize, and act on spatial data to make better decisions, meet regulatory requirements, and serve their communities effectively. Key ...

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 ...

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 ...

State of Arkansas

GIS ANALYST

North Little Rock, AR · On-site

$60K - $98K/yr

Manage spatial data layers, updating and refining datasets to ensure accurate and timely information is available for analysis.Integrate various data types (e.g., satellite imagery, aerial ...

ConnectPrep

Data Analyst Internship

Boston, MA · Remote

We are offering a Data Analyst Internship for qualified candidates. This is a cross-disciplinary role, both instructional and technical. You'll engage with our team of educators to validate and ...

ConnectPrep

Data Analyst Internship

Boston, MA · On-site +1

We are offering a Data Analyst Internship for qualified candidates. This is a cross-disciplinary role, both instructional and technical. You'll engage with our team of educators to validate and ...

ConnectPrep

Data Analyst Internship

Boston, MA · On-site +1

We are offering a Data Analyst Internship for qualified candidates. This is a cross-disciplinary role, both instructional and technical. You'll engage with our team of educators to validate and ...

State of Arkansas

GIS ANALYST

Little Rock, AR · On-site

$60K/yr

Manage spatial data layers, updating and refining datasets to ensure accurate and timely information is available for analysis.Integrate various data types (e.g., satellite imagery, aerial ...

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Internship Spatial Data Analyst information

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How much do internship spatial data analyst jobs pay per hour?

As of Jun 8, 2026, the average hourly pay for internship spatial data analyst in the United States is $22.50, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $24.52 per hour, depending on experience, location, and employer.

What is the difference between Internship Spatial Data Analyst vs Junior Spatial Data Analyst?

AspectInternship Spatial Data AnalystJunior Spatial Data Analyst
Required CredentialsEnrolled in or recent graduate of related degreeBachelor's degree in GIS, Geography, or related field
Work EnvironmentInternship, supervised, learning-focusedEntry-level professional, more independent tasks
Employer & Industry UsageInternship programs in GIS, urban planning, environmental firmsEntry-level roles in similar industries
Search & Comparison IntentUnderstanding internship opportunitiesClarifying entry-level job roles

The main difference is that an Internship Spatial Data Analyst is a temporary, learning-focused position for students or recent graduates, while a Junior Spatial Data Analyst is an entry-level professional role with more responsibilities and independence. Internships are ideal for gaining experience, whereas junior roles involve applying skills in real projects.

What types of projects can an Internship Spatial Data Analyst expect to work on, and how do these contribute to the organization's goals?

As an Internship Spatial Data Analyst, you can expect to work on projects involving data collection, cleaning, and visualization of geographic information using GIS tools and software. Typical tasks may include analyzing spatial patterns, creating maps for internal or client use, and assisting with data-driven decision-making processes. These projects are vital for supporting urban planning, environmental monitoring, or business logistics, depending on the organization's focus. Your work will often be collaborative, requiring regular communication with senior analysts, project managers, and sometimes field teams to ensure data accuracy and project alignment.

What are the key skills and qualifications needed to thrive as an Internship Spatial Data Analyst, and why are they important?

To thrive as an Internship Spatial Data Analyst, you need foundational knowledge in geographic information systems (GIS), spatial data analysis, and a relevant academic background such as geography, environmental science, or computer science. Familiarity with technical tools like ArcGIS, QGIS, and basic programming languages (e.g., Python or R) is typically required. Strong problem-solving skills, attention to detail, and effective communication help you interpret data and present findings clearly. These skills are vital for accurately analyzing spatial data and supporting data-driven decision-making in various projects.

What does an Internship Spatial Data Analyst do?

An Internship Spatial Data Analyst assists in collecting, analyzing, and visualizing geospatial data using tools such as GIS (Geographic Information Systems). Their responsibilities may include mapping locations, interpreting spatial patterns, and supporting senior analysts in projects related to urban planning, environmental monitoring, or logistics. Interns often work with large datasets, learn to use specialized software, and contribute to reports and presentations. This role helps interns develop technical skills and gain practical experience in spatial data analysis.
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Internship Spatial Data Analyst jobs near you
Senior Conservation Data Analyst/Engineer - 26078

Senior Conservation Data Analyst/Engineer - 26078

World Wildlife Fund

Washington, DC • On-site

$90K - $113K/yr

Other

Posted 11 days ago

Job description

Overview
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 to identify conservation opportunities and measure and monitor the 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 of conservation 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, and develop 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 will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.
Responsibilities
  • Support the development and application of data analysis and visualization methodologies and pipelines with the WWF scientists and 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.

Qualifications
  • 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 andd 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, tact and/or diplomacy to effectively communicate with all constituents.
  • Ability to demonstrate integrity 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