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Internship Spatial Data Analyst Jobs in Florida (NOW HIRING)

Persona AI

Robotics Data Pipeline Intern

Pensacola, FL · On-site

... analysis and kinematic retargeting. This is not a "fetch coffee and shadow engineers" internship ... Optimizing and testing data augmentation strategies (spatial, temporal, synthetic viewpoints ...

Sellers & Associates

Data Analyst

Plant City, FL · On-site

Strong internship or project experience may also be considered. * Experience applying analytical ... Experience ensuring data integrity and accuracy and dedication to adhering to security and ...

Sellers & Associates

Data Analyst

Plant City, FL · On-site

Strong internship or project experience may also be considered. * Experience applying analytical ... Experience ensuring data integrity and accuracy and dedication to adhering to security and ...

VHB

Senior Transportation Data Analyst

Orlando, FL

$98K - $148K/yr

Working with large spatial and non-spatial datasets, API's, web services, cloud data platforms ... Minimum of 3+ years of experience with advanced analytics in the engineering/transportation ...

OneRail

Junior Data Analyst

Orlando, FL · On-site

$77K/yr

Relevant coursework, internship experience, certifications, or portfolio projects in analytics, business intelligence, SQL, Power BI, or data visualization. Work Location On-Site On-Site Roles: This ...

OneRail

Junior Data Analyst

Orlando, FL · On-site

Relevant coursework, internship experience, certifications, or portfolio projects in analytics, business intelligence, SQL, Power BI, or data visualization. Work Location On-Site On-Site Roles: This ...

Versant Media

Sr. Data Analyst

Orlando, FL

$80K - $101K/yr

This Senior Data Analyst role sits within the AI, Modeling, and Strategy team (AIMS), part of the ... Prior internship or work experience is preferred * Strong intellectual curiosity paired with ...

Qualis LLC

GIS Analyst

Eglin Air Force Base, FL · On-site

The GIS Analyst will primarily provide the Army's 7th Special Forces Group with support in collecting, editing, storing, and accessing geo-spatial data of range environment and infrastructure.

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Internship Spatial Data Analyst information

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.
What are popular job titles related to Internship Spatial Data Analyst jobs in Florida? For Internship Spatial Data Analyst jobs in Florida, the most frequently searched job titles are:
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Internship Spatial Data Analyst jobs near you

Robotics Data Pipeline Intern

Persona AI

Pensacola, FL • On-site

Full-time

Posted 16 hours ago

Job description

Robotics Data Pipeline Intern - Multimodal Data
About Us At Persona, we're building the next generation of humanoid robots, and that requires an unprecedented volume of high-quality, multimodal data. We're moving beyond basic teleoperation to leverage massive datasets of in-the-wild egocentric video combined with dense sensor streams (IMU, haptics, kinematics, and high-fidelity force profiles). We're looking for a curious, technically sharp intern to roll up their sleeves and help us turn raw, unstructured multimodal data into high-fidelity training assets for our robots.
The Role As a Data Pipeline Intern, you'll work directly alongside our data and robotics engineering teams to support the infrastructure that feeds our foundation models. You'll get hands-on experience with real multimodal data challenges, from sensor stream processing and video pipeline optimization to force analysis and kinematic retargeting. This is not a "fetch coffee and shadow engineers" internship. You'll own real work and ship real code.
What You'll Work On
  • Rebuilding and extending pipelines that ingest and synchronously process egocentric video alongside rich sensor streams (IMU, force-torque, tactile, proprioception)
  • Owning post-processing algorithms for force analysis and hidden state inference, including contact force estimation, occlusion handling, and inverse kinematics gap-filling
  • Bridging kinematic retargeting work that translates human hand tracking into humanoid end-effector coordinates
  • Optimizing and testing data augmentation strategies (spatial, temporal, synthetic viewpoints, sensor noise injection)
  • Tying together work across our Hardware Teleoperation Team to help align human-robot play-data across modalities

What We're Looking For
  • Currently pursuing a B.S., M.S., or Ph.D. in Computer Science, Data Engineering, Machine Learning, Robotics, or a related field
  • Solid Python skills and exposure to PyTorch, particularly around data loading or multimodal datasets
  • Coursework or project experience with computer vision, time-series data, or sensor processing
  • Familiarity with video processing tools (OpenCV, FFmpeg) or pose estimation frameworks (MediaPipe) is a plus
  • Awareness of imitation learning, VLA architectures, or human-to-robot transfer concepts is a plus, but genuine curiosity counts for a lot here

Bonus Points
  • Experience with NVIDIA's robotics stack (Isaac, Cosmos, GR00T)
  • Exposure to distributed computing (Ray, Spark) or simulation environments (Omniverse, MuJoCo)
  • Any project work involving synthetic data generation or tactile/spatial data representations

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