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Remote Flight Data Analyst Jobs in Melbourne, FL

System One

PPM System Administrator

Palm Shores, FL · Remote

Hybrid - onsite and remote System One is looking for a Project Portfolio Management System Admin in ... Proficiency in data analysis, workflow configuration, data governance, system integrations, and ...

L3HHCM20

Associate, Finance Shared Services

Melbourne, FL · On-site +1

$42K - $85K/yr

Remote * Responsible for assisting the L3Harris Global Business Services vendor master data ... Knowledge and/or experience in data analytics, strong Excel skills, schedule development and ...

micro1 AI

Pharmacovigilance Expert

Palm Bay, FL · Remote

$70 - $80/hr

Remote micro1 is engaging Pharmacovigilance Experts to contribute their advanced drug safety ... safety data analysis. * Expertise in reconciling aggregate safety data and identifying ...

micro1 AI

Clinical Pharmacy Technicians

Palm Bay, FL · Remote

$70 - $80/hr

Remote micro1 is engaging Pharmacovigilance Experts to contribute their advanced drug safety ... safety data analysis. * Expertise in reconciling aggregate safety data and identifying ...

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All JobsFlight Data Analyst JobsRemote Flight Data Analyst JobsRemote Flight Data Analyst Jobs in Melbourne, FL

Remote Flight Data Analyst information

See Melbourne, FL salary details

$31.5K

$76.6K

$126.1K

How much do remote flight data analyst jobs pay per year?

As of Sep 5, 2026, the average yearly pay for remote flight data analyst in Melbourne, FL is $76,601.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,900.00 and $89,900.00 per year, depending on experience, location, and employer.

What is a remote flight data analyst?

A Remote Flight Data Analyst is a professional who analyzes flight data from aircraft to ensure safety, optimize performance, and support regulatory compliance, all while working remotely. They use specialized software to review data collected from flight data recorders and other avionics systems, looking for trends, anomalies, or potential safety issues. Their work helps airlines and aviation organizations improve operational efficiency, maintain safety standards, and meet industry regulations. Remote Flight Data Analysts collaborate with pilots, engineers, and safety teams, providing insights and recommendations based on their analysis.

What are the key skills and qualifications needed to thrive as a remote flight data analyst?

To thrive as a Remote Flight Data Analyst, you need strong analytical skills, a solid understanding of aeronautical engineering or aviation science, and typically a relevant degree or certification. Proficiency with flight data monitoring (FDM) software, data visualization tools, and experience with industry standards like FOQA are essential. Attention to detail, problem-solving, and effective communication skills set top analysts apart in collaborating with pilots and safety teams. These skills ensure accurate interpretation of flight data, support safety improvements, and facilitate compliance with aviation regulations.

How does a remote flight data analyst collaborate with pilots and maintenance teams to ensure flight safety?

Remote Flight Data Analysts play a crucial role in promoting flight safety by analyzing data collected from aircraft and identifying potential safety issues or trends. They regularly communicate their findings to pilots and maintenance teams, often through detailed reports or virtual meetings. This collaboration helps ensure that any anomalies or maintenance needs are addressed promptly, minimizing risks and improving operational efficiency. Frequent coordination with these teams also fosters a proactive safety culture and helps analysts stay informed about operational changes that may impact data interpretation.

What are popular job titles related to Remote Flight Data Analyst jobs in Melbourne, FL?

For Remote Flight Data Analyst jobs in Melbourne, FL, the most frequently searched job titles are:

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Remote Flight Data Analyst jobs near you

Medical Microbiology Consultant - Remote

micro1 AI

Palm Bay, FL • Remote

$70 - $90/hr

Part-time

Re-posted 9 days ago

Job description

Role Title: Microbiologist


Role Type: Contractor


Location: Remote


micro1 is engaging Microbiologists to contribute their scientific expertise to a unique customer project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Key Responsibilities:

  1. Investigate and analyze the development, morphology, and behavior of microscopic organisms including bacteria, fungi, and algae.
  2. Contribute to the study of the relationship between microorganisms and disease, supporting projects involving medical microbiology.
  3. Assess the impact of antibiotics and other agents on microbial populations, providing insights for AI model accuracy.
  4. Document experimental findings and processes with a focus on clarity for AI training data.
  5. Collaborate with interdisciplinary teams to ensure scientific rigor and data integrity in AI development.
  6. Provide written and verbal expertise on microbiological phenomena and their relevance to real-world and computational contexts.
  7. Utilize rubrics and established evaluation criteria to assess data quality and support AI training workflows.


Required Skills and Qualifications:

  1. Bachelor’s degree or higher in Biology, Microbiology, Chemistry, or a related field.
  2. Extensive knowledge of bacterial, fungal, and algal systems.
  3. Demonstrated expertise in investigating microbial structure and physiology.
  4. Strong written and verbal communication skills for technical and interdisciplinary collaboration.
  5. Ability to document processes and findings clearly for integration into AI systems.
  6. Comfort working independently in a fully remote, digital-first environment.
  7. Attention to detail and commitment to scientific accuracy.


Preferred Qualifications:

  1. Prior experience developing or applying rubrics in scientific or educational contexts.
  2. Experience with AI, machine learning, or annotation projects related to biology or microbiology.
  3. Advanced degree (Master’s or PhD) in a relevant field.

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