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Remote Environmental Data Analyst Jobs in Brandon, MS

BBG, INC.

Commercial Real Estate Analyst

Ridgeland, MS · Remote

... data, performing market surveys, and confirming property transaction details. All job training and ... The CRE Analyst position is defined by an independent, yet supportive environment in which the ...

micro1 AI

M&A Attorney - AI Trainer - Remote

Jackson, MS · Remote

$90 - $130/hr

Collaborate with product and research teams to refine data, guidelines, and best practices for AI ... Strong analytical capabilities and ability to translate legal expertise into actionable feedback ...

Noblesoft Technologies

SME PowerApps Developer

Jackson, MS · Remote

$50.25 - $65.50/hr

Jackson, MS 39211 - Remote Duration: 5 years Position Description: This position requires a ... Business systems analysis and support experience Understanding PowerApps formulas and development ...

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All JobsEnvironmental Data Analyst JobsRemote Environmental Data Analyst JobsRemote Environmental Data Analyst Jobs in Brandon, MS

Remote Environmental Data Analyst information

See Brandon, MS salary details

$32.8K

$79.8K

$131.3K

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

As of Sep 4, 2026, the average yearly pay for remote environmental data analyst in Brandon, MS is $79,806.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,400.00 and $93,700.00 per year, depending on experience, location, and employer.

What does a remote environmental data analyst do?

A Remote Environmental Data Analyst collects, processes, and interprets environmental data such as air quality, water resources, or climate information, all while working from a remote location. They use statistical tools and software to analyze large datasets, identify patterns, and produce reports that support environmental research or policy decisions. Their work often involves collaborating with scientists, government agencies, or private organizations to help monitor and address environmental issues. Strong analytical skills and proficiency in data analysis software are essential for this role.

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

A Remote Environmental Data Analyst should have a solid background in environmental science, statistics, and data analysis, typically supported by a relevant degree. Familiarity with data analysis tools like R, Python, GIS software, and remote sensing platforms is essential, along with experience handling large environmental datasets. Strong analytical thinking, attention to detail, and effective written communication are critical soft skills for interpreting data and collaborating remotely. These competencies enable accurate environmental assessments and support informed decision-making for sustainability initiatives.

How does a remote environmental data analyst typically collaborate with other team members and stakeholders?

As a Remote Environmental Data Analyst, you often work closely with interdisciplinary teams that may include scientists, engineers, project managers, and government agencies. Collaboration is typically facilitated through digital communication tools, shared data platforms, and regular virtual meetings. Your role often involves interpreting data, generating reports, and presenting findings to both technical and non-technical stakeholders. Strong communication skills are essential, as you may need to explain complex data trends or offer actionable recommendations to support environmental projects and policy decisions.

What job categories do people searching Remote Environmental Data Analyst jobs in Brandon, MS look for?

The top searched job categories for Remote Environmental Data Analyst jobs in Brandon, MS are:

Remote Environmental Data Analyst jobs near you

Corporate Transactions Attorney - Remote

micro1 AI

Jackson, MS • Remote

$90 - $130/hr

Part-time

Re-posted 6 days ago

Job description

Role Title: M&A Attorney


Role Type: Contractor


Location: Remote


We are seeking seasoned M&A attorneys for a part-time role at the forefront of legal AI. This opportunity is for elite lawyers who want to help shape how advanced AI is trained, evaluated, and applied in real-world legal work, especially those who have deep experience with drafting, reviewing, negotiating, and redlining within the tech field.


In this role, you will review, assess, and contribute to contract redlining workflows used to train and evaluate state-of-the-art AI models. Your work will directly improve how these systems identify risk and interpret contract language to create tools with improved precision and legal judgment.


Key Responsibilities:

  1. Perform simulated contract negotiations and redlining exercises.
  2. Review and assess AI responses to contract scenarios, providing expert feedback to improve model performance and output precision.
  3. Create objective evaluation frameworks and grading criteria to assess AI performance on contract tasks with rigor and consistency.
  4. Collaborate with product and research teams to refine data, guidelines, and best practices for AI-driven contract review solutions.


Required Skills and Qualifications:

  1. J.D. from an ABA-accredited law school.
  2. Active bar admission in at least one U.S. jurisdiction.
  3. Minimum of 2 years in the M&A department of a corporate law firm.
  4. Familiarity with standard M&A agreements, including APAs and SPAs.
  5. Exceptional written and verbal communication skills with meticulous attention to detail.
  6. Strong analytical capabilities and ability to translate legal expertise into actionable feedback for AI systems.
  7. Demonstrated commitment to innovation at the intersection of law and technology.
  8. Experience working with cross-disciplinary teams in fast-paced environments.


Preferred Qualifications:

  1. Prior exposure to AI, legal tech, or training initiatives.
  2. Experience working with private equity firms.


Why Join:

  1. This is an opportunity to work at the intersection of law and technology.
  2. You will help define how AI is developed for a new generation of legal practitioners.
  3. You will apply your experience in a high-impact research environment.


Compensation Structure:

Compensation is task-based; experts are paid per task that meets the project specifications. The effective hourly rate is based on the average handling time (AHT) of the tasks and may vary by specific task.

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