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Remote Private Sector Meteorology Jobs (NOW HIRING)

Meteorological Technician

Jackson, WY ยท On-site +1

$24.18/hr

Routinely communicates with other avalanche professionals in State, Federal and private sector ... Interpreted and extrapolated remote weather station data and National Weather Service products ...

... Level public and private sector executives. All VoicedIQ positions are US-based remote roles ... working in EST. To see the list of all of our positions, click the link here: Benefits Competitive ...

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Remote Private Sector Meteorology information

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$37K

$96.3K

$122K

How much do remote private sector meteorology jobs pay per year?

As of Aug 6, 2026, the average yearly pay for remote private sector meteorology in the United States is $96,278.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $98,500.00 per year, depending on experience, location, and employer.

How do remote private sector meteorologists typically collaborate with clients and team members to deliver accurate forecasts?

Remote private sector meteorologists often use digital communication tools such as video conferencing, instant messaging, and collaborative platforms to interact with clients and colleagues. They routinely participate in virtual meetings to discuss client needs, review weather models, and coordinate forecast delivery schedules. Sharing data and visualizations through cloud-based systems is common, enabling real-time collaboration and adjustments to forecasts. Building strong communication skills is essential, as clear and timely updates help maintain trust and ensure client requirements are met efficiently.

What are the key skills and qualifications needed to thrive as a remote private sector meteorologist, and why are they important?

To thrive as a Remote Private Sector Meteorologist, you need a solid background in atmospheric science, strong data analysis skills, and typically a bachelor's degree in meteorology or a related field. Proficiency with weather modeling software, GIS tools, remote sensing systems, and platforms for virtual communication is essential. Excellent written and verbal communication, problem-solving abilities, and adaptability are standout soft skills for this role. These skills and qualities ensure accurate forecasting, effective client communication, and the ability to deliver timely insights in a dynamic, remote work environment.

What is remote private sector meteorology?

Remote private sector meteorology involves providing weather forecasting, analysis, and consulting services for businesses and organizations from a location outside of a traditional office, often working from home or another remote setting. Meteorologists in this field use specialized software and data sources to deliver forecasts, risk assessments, and tailored weather information to clients in industries like agriculture, energy, transportation, and insurance. The private sector differs from government meteorology in that it focuses on commercial applications and client-specific solutions, often requiring strong communication and business skills in addition to meteorological expertise.
More about Remote Private Sector Meteorology jobs
What cities are hiring for Remote Private Sector Meteorology jobs? Cities with the most Remote Private Sector Meteorology job openings:
What are the most commonly searched types of Private Sector Meteorology jobs? The most popular types of Private Sector Meteorology jobs are:
What states have the most Remote Private Sector Meteorology jobs? States with the most job openings for Remote Private Sector Meteorology jobs include:
Infographic showing various Remote Private Sector Meteorology job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 18% Part Time, and 8% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $96,278 per year, or $46.3 per hour.

Compensation Analyst - Remote

DCI Consulting Group Inc

Washington, DC โ€ข Remote

Full-time

Re-posted 25 days ago


Job description

Salary: $75,000 - $95,000

Position: Compensation Analyst - Remote


Location: Remote
Department: Employment and Litigation Services (ELS)
Experience Level: Mid-level (minimum 3 years of experience)

Salary Range: $75,000- $90,000


About DCI:

DCI Consulting Group is a leading Human Resources (HR) risk management and workforce analytics firm that helps organizations solve their most complex human resource challenges through a data-driven, research-based approach.

Our experienced consultants partner with clients to address organizational needs holistically, utilizing best practices in human resources, industrial-organizational psychology, and labor economics to promote workplace equity and mitigate risk.


Our Clients:

DCI Consulting Group proudly serves a broad spectrum of clients across multiple sectors, including private sector employers, federal agencies and contractors, public sector organizations, non-profits, and national law firms.


Top Client Initiatives DCI Supports:

Employee selection procedure development and validation research, pay equity and other EEO analytics, compensation consulting, workplace compliance, nondiscrimination reporting, and litigation support as testifying and consulting experts.


About the Job:

DCI Consulting Group is seeking a Compensation Analyst to join our Employment & Litigation Support (ELS) Division. In this role, you will work alongside industry-leading experts in a fast-paced consulting environment to help organizations build equitable and competitive compensation programs that align with legal standards and business strategy.

This position is ideal for mid-career compensation professionals with demonstrated consulting experience and a genuine desire to support clients across a variety of industries.


Responsibilities:

  • Conduct market benchmarking using survey data platforms and publicly available sources
  • Assist in the design and assessment of job architecture, salary structures, and pay ranges
  • Review job descriptions to align positions within leveling frameworks
  • Gather, scrub, and organize compensation data, ensuring data quality and accuracy
  • Analyze market trends and pay equity data to support client recommendations
  • Support statistical analyses to inform compensation design decisions
  • Help ensure compliance with compensation-related regulations (e.g., EEO, FLSA)
  • Prepare clear, concise summaries and visuals for internal and client-facing presentations and reports
  • Support compensation project management and cycle planning tasks
  • Communicate proactively with clients and teammates on deliverables and project initiatives


Required Skills and Qualifications:

  • Bachelor's degree in HR, Business, or related field
  • Minimum 3 years of experience in compensation, HR analytics, or related role
  • Minimum 2 years of experience working in a consulting firm or professional services environment
  • Understanding of compensation fundamentals (e.g., job evaluation, benchmarking, pay equity, and market pricing)
  • Demonstrated proficiency benchmarking positions against public and private sector market data using both publicly available and privately held survey sources (e.g., Mercer, Willis Towers Watson, ERI, Salary.com)
  • Advanced Excel skills (e.g., pivot tables, VLOOKUP/HLOOKUP/XLOOKUP, IF statements, INDEX/MATCH, SUMIFS/AVERAGEIFS/COUNTIFS, and data modeling), with demonstrated experience in data quality assurance (QA)
  • Strong computer skills in MS Suite (e.g., Word, Access, PowerPoint, Outlook, 365, Teams)
  • Strong attention to detail with the ability to manage multiple workstreams within tight deadlines
  • Strong written and verbal communication skills, with a demonstrated ability to proactively engaged teammates and clients on deliverables and project initiatives.
  • Familiarity with compensation-related regulations and compliance requirements, including EEO and FLSA
  • Ability to thrive in a remote, fast-paced consulting environment as a member of a team and with significant autonomy, self-discipline, and organization skills


Preferred Experience:

  • Familiarity with statistical concepts or tools supporting compensation analysis (e.g., regression, distribution analysis)
  • Familiarity with artificial intelligence in work products
  • Familiarity with executive or sales compensation
  • Total rewards knowledge, particularly benefits benchmarking
  • Exposure to compensation work in multiple sectors, including nonprofit, private sector, public sector, and/or higher education settings