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Jr. Data Analyst; part-time

Job in Tampa, Hillsborough County, Florida, 33646, USA
Listing for: MAXAR TECHNOLOGIES, INC.
Part Time position
Listed on 2026-09-18
Job specializations:
  • IT/Tech
Salary/Wage Range or Industry Benchmark: 53000 - 113000 USD Yearly USD 53000.00 113000.00 YEAR
Job Description & How to Apply Below
Position: Jr. Data Analyst (part-time)
Vantor is forging the new frontier of spatial intelligence, helping decision makers and operators navigate what’s happening now and shape what’s coming next. Vantor is a place for problem solvers, changemakers, and go-getters—where people are working together to help our customers see the world differently, and in doing so, be seen differently. Come be part of a mission, not just a job, where you can:
Shape your own future, build the next big thing, and change the world.

To be eligible for this position, you must be a U.S. Person, defined as a U.S. citizen, permanent resident, Asylee, or Refugee.

Export Control/ITAR:
Certain roles may be subject to U.S. export control laws, requiring U.S. person status as defined by 8 U.S.C. 1324b(a)(3).Please review the job details below.

Vantor is seeking a motivated, detail-oriented Junior Data Analyst to support data ingestion, processing, quality control, and workflow automation activities in Tampa. The successful candidate will assist with developing and maintaining Python-based tools that transform raw data into organized, usable information for analysis and reporting.

This position is well suited for an early-career professional with an interest in data analytics, automation, artificial intelligence, and geospatial intelligence. The candidate should be comfortable learning new technologies, working independently, documenting processes, and collaborating with technical and mission-focused team members.

Key Responsibilities Develop and maintain Python scripts for automated data ingestion, processing, transformation, and quality control.

Organize and validate structured and unstructured data from multiple sources.

Assist with automating repetitive data-handling and reporting tasks.

Identify data quality issues, inconsistencies, and processing errors, and help resolve them.

Support the use of APIs, file-based workflows, databases, and other data sources.

Apply large language models (LLMs) and AI-enabled tools to support data processing, classification, summarization, and workflow automation.

Document scripts, data workflows, procedures, and results.

Support analysts and technical staff with data preparation and basic troubleshooting.

Maintain a high level of accuracy, organization, and confidentiality.

Basic Qualifications

Experience with Python, including scripting for data manipulation and automation.

Familiarity with automated data ingestion and data processing workflows.

Basic understanding of data structures, file formats, and quality-control methods.

Experience using tools such as pandas, Num Py, or similar Python libraries.

Experience using LLMs or AI-enabled tools for analysis, automation, or productivity is preferred.

Strong attention to detail and problem-solving skills.

Ability to work independently for a part-time schedule of approximately 20 hours per week.

Strong written and verbal communication skills.

Must be located in or able to work from the Tampa, Florida area.

Preferred Qualifications Coursework, internship, or project experience in data science, computer science, information systems, engineering, or a related field.

Familiarity with SQL, APIs, Git, Jupyter Notebooks, or cloud-based data environments.

Experience with geospatial data, satellite imagery, remote sensing, or geographic information systems.

Exposure to machine learning, prompt engineering, or AI-assisted data workflows.

Pay Transparency:
In support of pay transparency at Vantor, we disclose salary ranges on all U.S. job postings. The successful candidate’s starting pay will fall within the salary range provided below and is determined based on job-related factors, including, but not limited to, the experience, qualifications, knowledge, skills, geographic work location, and market…
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