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Internship Spatial Data Analyst Jobs in Fort Lauderdale, FL

Support geospatial data collection, curation, and analysis, ensuring research outputs align with mission objectives. * Apply geospatial analytical techniques, including spatial modeling, remote ...

This internship offers a valuable opportunity for a current student to gain hands-on experience in data analysis, reporting, and business operations while collaborating closely with leadership in a ...

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To Be Determined by the Agency Posting Closing Date: 06/30/2026 Cybersecurity Analyst/Specialist ... High level of accuracy in data entry and documentation. * Ability to handle confidential ...

To Be Determined by the Agency Posting Closing Date: 06/30/2026 Cybersecurity Analyst/Specialist ... High level of accuracy in data entry and documentation. * Ability to handle confidential ...

Cultivate Internship

Pompano Beach, FL · On-site

$14 - $18.75/hr

Business Administration, Communication, Computer Science, Data Science & Analytics, Digital Media ... INTERNSHIP APPLICATION LINK: OneHope Cultivate Intern at OneHope

Cultivate Internship

Pompano Beach, FL · On-site

$14 - $18.75/hr

Business Administration, Communication, Computer Science, Data Science & Analytics, Digital Media ... INTERNSHIP APPLICATION LINK: OneHope Cultivate Intern at OneHope Powered by JazzHR vHzpygz7UM

To Be Determined by the Agency Posting Closing Date: 06/30/2026 Cybersecurity Analyst/Specialist ... High level of accuracy in data entry and documentation. * Ability to handle confidential ...

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Internship Spatial Data Analyst information

See Fort Lauderdale, FL salary details

$11

$21

$40

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

As of May 28, 2026, the average hourly pay for internship spatial data analyst in Fort Lauderdale, FL is $21.51, according to ZipRecruiter salary data. Most workers in this role earn between $16.54 and $23.46 per hour, depending on experience, location, and employer.

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 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 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.

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 are popular job titles related to Internship Spatial Data Analyst jobs in Fort Lauderdale, FL? For Internship Spatial Data Analyst jobs in Fort Lauderdale, FL, the most frequently searched job titles are:
What job categories do people searching Internship Spatial Data Analyst jobs in Fort Lauderdale, FL look for? The top searched job categories for Internship Spatial Data Analyst jobs in Fort Lauderdale, FL are:
What cities near Fort Lauderdale, FL are hiring for Internship Spatial Data Analyst jobs? Cities near Fort Lauderdale, FL with the most Internship Spatial Data Analyst job openings:
Data Scientist

Full-time

Posted 10 days ago


Job description

The Data Scientist works closely with Retail Technology, Media and Account Services teams to provide predictive modeling of Marketing, Direct & Digital Efforts. We are looking for a motivated Data Scientist and analytical thought leader. This is a rare opportunity to be part of a diverse and newly expanded analytics department and a great fit for a predictive modeler with a desire to impact business results.

Responsibilities

  • Apply specialized technical knowledge and expertise to perform reviews relating to the full life cycle of models, information technology applications, or risk management/analysis used across the company.
  • Collaborate and share knowledge with teams across the media organization, as appropriate. Build and maintain relationships with business partners at the manager and staff levels.
  • Use data analysis, mining, and migration techniques for enhanced targeting, audience segmentation, clustering, profiling, and regression analysis
  • Identify digital placement-level strengths and weaknesses across simultaneous campaigns and geographies
  • Develop and maintain internal automated reporting tools, documents, scoring systems, and dashboards for on-going and post-campaign reporting
  • Coordinate cross-functional reviews to discuss region- and campaign-specific findings and actionable recommendations for digital media campaigns built on various CPM, CPC, CPE, and CPA models
  • Identify and facilitate resolution of tagging issues in coordination with Traffic and Production teams focused on site-side tracking, reporting, and implementation
  • Provide client-facing/non-technical recommendations and insights, both in a written and verbal manner, that provide understandable and actionable optimizations.
  • Work with Media, Strategic Intelligence and Account Services teams to develop measurement plans to deliver on campaign and client objectives

Requirements

  • Bachelor's degree in related field
  • Entry-Level and/or College Internship experience 
  • Must demonstrate the ability to successfully develop and run analytics (scripts) using specialized tools and platforms, specifically, R, Python, SQL, and/or SAS.
  • Experience applying data synthesis, mining and regression techniques for enhanced targeting, audience segmentation, clustering, profiling, and insightful recommendations
  • Advanced knowledge of Microsoft Excel
  • General understanding of digital advertising, digital media strategy, ad placement type, placement-level insight, and standard media metrics is preferred
  • Experience with data orchestration tools such as Annalect Omni is preferred
  • Excellent verbal, written and interpersonal communication skills
  • Ability to work independently and as part of a team
  • Ability to manage multiple projects simultaneously while meeting deadlines
  • Regression modeling focusing on maximizing yield while measuring the diminishing returns of ad spend at scale for thousands of locations.
  • Data storytelling and presentation