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Remote Wind Data Analyst Jobs (NOW HIRING)

Advanced Trade Analytics Platform (ATAP) Remote (U.S.) Active Top Secret Clearance Required Use Data to Drive Mission Success Radiance Technologies is seeking a Data Analyst to support U.S. Customs ...

Senior Data Analyst

Denver, CO · Remote

$90K - $120K/yr

100% Remote Full-time Senior Analyst At NuView Analytics - we help companies accelerate the time to insights from their data. We do this in three ways - data analytics, data diligence, and fractional ...

Senior Data Analyst (Remote)

$88K - $111K/yr

Senior Data Analyst (Remote) Duration: 12 Months Location: Remote Only W2 candidates are eligible for this position. Third-party or C2C candidates will not be considered Work Arrangement * Remote ...

Data Analyst

OR · On-site +1

$68K - $127K/yr

As a Data Analyst,you'llturn data into meaningful insights that help drive smarter decisions across ... Remote or onsite, we are committed to ensuring you are fully engaged and included in our ...

Data Analyst, Pharmaceutical Industry Job Details : 90%remote position forUS FT Perm W2 employee Travel Requirements: up to 10% domestic travel each year forcompany events and socials Time Zone ...

Most of our positions are remote, providing flexibility while contributing to meaningful federal projects. Key Skills amp; Qualifications We're Looking For: * Data Analysis amp; Reporting: Experience ...

Sr. Data Analyst - Remote

Manhattan, NY · On-site +1

$94K - $119K/yr

Details: Sr. Data Analyst Duration: Full time / Direct Hire Location: 100% Remote but candidate must be in below states Will hire remote in CA, CT, FL, GA, IL, MD, NH, NJ, NY, NC, PA, TX, UT, WA, DC ...

Remote Primary Responsibilities: * Be a key or core resource for complex issues, data discrepancies, and fire drills * Assesses and interprets customer requests for feasibility, priority, and ...

Position Summary The Data Analyst supports the analysis, interpretation, and reporting of ... Remote work permitted only under approved or contingency conditions Compensation Range: The salary ...

Data Analyst Location: Pensacola, FL Type: Contract Work Model ... Hybrid - onsite and remote Responsibilities • Contribute to the development of technical ...

Data Analyst Location: Pensacola, FL Type: Contract Work Model ... Hybrid - onsite and remote Responsibilities • Contribute to the development of technical ...

Data Analyst

New York, NY · Remote

$55 - $60/hr

This is a remote opportunity. About this Position Join a fast-paced Product Operations team focused ... Analyze operational data to identify trends, risks, and improvement opportunities * Build and ...

Job Title- Data Analyst Strong Tableau Location- Remote Duration- 06 Months Contract Job I'd- UHGJP00097212 Job Details: What are the top 5-10 responsibilities for this position (please be detailed ...

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Remote Wind Data Analyst information

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$34K

$82.6K

$136K

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

As of Jul 9, 2026, the average yearly pay for remote wind data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

How much do remote data analysts make?

Remote data analysts typically earn between $60,000 and $85,000 annually, depending on experience, location, and industry. Those with specialized skills in data visualization, programming, or industry-specific knowledge may earn higher salaries, and remote roles often offer competitive compensation packages.

Is it possible to get a remote job as a data analyst?

Yes, remote data analyst positions are widely available across various industries. These roles often require skills in data analysis tools like Excel, SQL, or Python, and may involve collaboration through online communication platforms. Many companies now offer remote work options for data analysts, making it accessible to job seekers with the appropriate skills and experience.

What are some common challenges faced by Remote Wind Data Analysts, and how can they be addressed?

Remote Wind Data Analysts often encounter challenges such as managing large datasets from multiple wind farms, ensuring data quality despite equipment malfunctions, and effectively communicating insights to non-technical stakeholders. To address these, analysts use advanced data-cleaning tools, establish regular calibration and maintenance checks with on-site teams, and develop clear visualizations and reports. Collaborating closely with engineering and operations teams also helps ensure that data-driven recommendations are practical and actionable.

Is 40 too late for data science?

For a Remote Wind Data Analyst or similar data science roles, starting a career at 40 is feasible as the field values skills, experience, and continuous learning. Many professionals transition into data roles later in life by acquiring relevant certifications, programming skills, and domain knowledge. Age is less a barrier than technical proficiency and the ability to adapt to evolving tools and methods.

Will AI replace a data analyst?

AI can automate routine data processing and analysis tasks, but the role of a data analyst, including a remote wind data analyst, involves interpreting complex data, providing insights, and making strategic decisions that require human judgment. Therefore, AI is more likely to augment rather than fully replace data analysts, who also need skills in data visualization, domain knowledge, and communication. Continuous learning and proficiency with analytical tools remain important for the role.

What are the key skills and qualifications needed to thrive as a Remote Wind Data Analyst, and why are they important?

To thrive as a Remote Wind Data Analyst, you need strong analytical skills, a background in atmospheric science or engineering, and proficiency in data analysis, typically supported by a relevant degree. Experience with data visualization tools, statistical software (such as Python, R, or MATLAB), and knowledge of wind resource assessment systems are essential. Attention to detail, problem-solving abilities, and effective communication are vital soft skills for collaborating with cross-functional teams and presenting findings. These skills ensure accurate wind data interpretation, support informed decision-making for renewable energy projects, and contribute to efficient remote teamwork.

What is a Remote Wind Data Analyst?

A Remote Wind Data Analyst is a professional who collects, processes, and interprets data related to wind patterns and performance, typically for renewable energy projects. They use specialized software to analyze data from wind sensors and turbines, helping organizations optimize energy production and site selection. The 'remote' aspect means they perform these tasks from a location outside the physical site, often working from home or another off-site location. Their insights are critical for improving efficiency, reducing costs, and supporting the growth of wind energy. This role requires strong analytical skills and familiarity with data management tools.
More about Remote Wind Data Analyst jobs
What cities are hiring for Remote Wind Data Analyst jobs? Cities with the most Remote Wind Data Analyst job openings:
What are the most commonly searched types of Wind Data Analyst jobs? The most popular types of Wind Data Analyst jobs are:
What states have the most Remote Wind Data Analyst jobs? States with the most job openings for Remote Wind Data Analyst jobs include:
Infographic showing various Remote Wind Data Analyst job openings in the United States as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 86% Full Time, 6% Part Time, 1% Temporary, and 5% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.
Data Analyst

Full-time

Posted 27 days ago


Job description

Advanced Trade Analytics Platform (ATAP)
Remote (U.S.)
Active Top Secret Clearance Required
Use Data to Drive Mission Success
Radiance Technologies is seeking a Data Analyst to support U.S. Customs and Border Protection's (CBP) Advanced Trade Analytics Platform (ATAP). In this role, you will work alongside data scientists, engineers, and mission stakeholders to analyze data, develop reports, support analytical models, and provide actionable insights that support national security and trade enforcement missions.
This position offers the opportunity to work with large-scale datasets, modern analytics technologies, and mission-critical programs that directly impact CBP operations.
What You'll Do
  • Perform data mining, data preparation, analysis, and reporting activities.
  • Conduct studies, assessments, and analytical reviews to support customer requirements.
  • Evaluate data quality, accuracy, and completeness to support sound decision-making.
  • Develop reports, dashboards, visualizations, and analytical products.
  • Prepare and organize datasets for analytical and modeling activities.
  • Support implementation of data models and analytical solutions.
  • Provide database and data management support.
  • Document findings and present recommendations to stakeholders.
  • Collaborate with data scientists, engineers, and customers to address mission challenges.
  • Identify opportunities for process improvement and automation.
  • Participate in Agile project activities and team collaboration efforts.

Required Qualifications
Education
Bachelor's degree in:
  • Data Science
  • Statistics
  • Applied Mathematics
  • Computer Science
  • Operations Research
  • Or a related quantitative discipline

Master's degree may substitute for up to two years of experience. Ph.D. may substitute for required experience.
Experience
  • Five (5) years of experience in applied research, big data analytics, statistics, data science, computer science, operations research, or related quantitative disciplines.
  • Two (2) years supporting applied data science research or big data analytics.
  • Experience preparing, analyzing, and managing large datasets.
  • Experience developing reports, analyses, and recommendations for stakeholders.

Knowledge & Skills
  • Knowledge of data mining, databases, data visualization, and machine learning concepts.
  • Ability to communicate analytical findings to technical and non-technical audiences.
  • Strong analytical, problem-solving, and critical-thinking skills.
  • Experience developing data-driven reports and visualizations.

Preferred Qualifications
  • Experience supporting CBP, DHS, defense, intelligence, law enforcement, or trade-related programs.
  • Experience with trade analytics, compliance monitoring, fraud detection, risk scoring, or investigative analytics.
  • Familiarity with Databricks, Spark, AWS GovCloud, Azure Government, or cloud-based analytics environments.
  • Experience supporting AI/ML initiatives and advanced analytics programs.

Preferred Technical Skills
  • Python
  • SQL
  • Power BI
  • Tableau
  • Databricks
  • Spark
  • Data Visualization
  • ETL Processes
  • Agile Methodologies

Security Requirements
  • Active Top Secret security clearance required.
  • Ability to obtain and maintain access to DHS and CBP systems and facilities.

Why Radiance?
Radiance Technologies is a 100% employee-owned company dedicated to solving complex national security challenges through innovation, technical excellence, and mission-focused solutions. Our employees work on meaningful programs while benefiting from a collaborative culture that supports professional growth and continuous learning.
Benefits
  • 100% Employee-Owned (ESOP)
  • Remote Work Flexibility
  • Meaningful National Security Mission
  • Exposure to Advanced Analytics and AI Technologies
  • Career Growth and Professional Development
  • Collaborative and Innovative Culture
  • Competitive Compensation and Benefits

Join Radiance Technologies and help transform data into mission success.
Radiance Technologies is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.