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Remote Analytics Jobs (NOW HIRING)

DHARWIN BUSINESS SOLUTIONS LLC

Be Seen First

Data Analyst (STEM OPT - Entry Level)

OR · Remote

... remote analytics team. This role is designed to provide structured training, hands-on project experience, and continuous supervision , ensuring compliance with STEM OPT requirements while helping the ...

DHARWIN BUSINESS SOLUTIONS LLC

Be Seen First

Data Analyst (STEM OPT - Entry Level)

OR · Remote

... remote analytics team. This role is designed to provide structured training, hands-on project experience, and continuous supervision , ensuring compliance with STEM OPT requirements while helping the ...

DataAnnotation

$40/hr

A technology company specializing in AI is seeking experienced quantitative professionals to evaluate AI-generated work and solve complex problems. You will work remotely from locations in the US ...

NuView Analytics

Senior Data Analyst (Remote)

Denver, CO · Remote

$90K - $120K/yr

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

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Remote Analytics information

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$60.5K

$123.8K

$175K

How much do remote analytics jobs pay per year?

As of May 30, 2026, the average yearly pay for remote analytics in the United States is $123,849.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,000.00 and $153,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Analytics professional, and why are they important?

A Remote Analytics professional needs strong analytical skills, proficiency in data interpretation, and usually a background in statistics, mathematics, or a related field. Familiarity with tools such as SQL, Python, Excel, and data visualization platforms like Tableau or Power BI is typically required, along with experience in cloud-based analytics environments. Excellent communication, problem-solving abilities, and self-motivation are vital soft skills for collaborating across remote teams and presenting insights effectively. These skills and qualities enable professionals to extract actionable insights from data, drive decision-making, and succeed in a remote work setting.

How do remote analytics professionals typically collaborate with cross-functional teams while working off-site?

Remote analytics professionals frequently collaborate with product managers, engineers, and business stakeholders through virtual meetings, shared dashboards, and collaborative project management tools. Effective communication and documentation are key to ensuring clear understanding of analytical findings and project goals. Many organizations use cloud-based platforms that allow real-time data sharing and feedback, enabling remote analytics teams to stay integrated with on-site colleagues and decision-makers. Regular check-ins and clear reporting structures also help maintain strong connections and accountability.

What is a Remote Analytics job?

A Remote Analytics job involves analyzing data and generating insights for an organization while working from a location outside of the traditional office, such as your home or another remote setting. Professionals in this field use statistical tools, data visualization, and reporting software to help companies make data-driven decisions. Their responsibilities can include gathering data, performing analyses, creating dashboards, and presenting findings to stakeholders—all accomplished through digital collaboration tools. This role is ideal for individuals who are comfortable working independently and have strong analytical and technical skills.

What is the difference between Remote Analytics vs Remote Data Analyst?

AspectRemote AnalyticsRemote Data Analyst
Required CredentialsBachelor's in Analytics, Data Science, or related fields; often certifications in analytics toolsBachelor's in Statistics, Data Science, or related fields; certifications in data analysis tools
Work EnvironmentPrimarily uses analytics platforms, programming languages, and visualization tools remotelyFocuses on data interpretation, reporting, and visualization remotely
Employer & Industry UsageUsed across tech, finance, marketing, and consulting firms for strategic insightsCommon in finance, healthcare, and marketing sectors for data reporting

Remote Analytics and Remote Data Analyst roles share overlapping skills and work environments, but Remote Analytics often involves more advanced data modeling and strategic insights, while Remote Data Analysts focus on data interpretation and reporting. Both roles are vital in data-driven industries and frequently searched together by job seekers.

More about Remote Analytics jobs
What cities are hiring for Remote Analytics jobs? Cities with the most Remote Analytics job openings:
What are the most commonly searched types of Analytics jobs? The most popular types of Analytics jobs are:
What states have the most Remote Analytics jobs? States with the most job openings for Remote Analytics jobs include:
What job categories do people searching Remote Analytics jobs look for? The top searched job categories for Remote Analytics jobs are:
Remote Analytics jobs near you
Infographic showing various Remote Analytics job openings in the United States as of May 2026, with employment types broken down into 83% Full Time, 14% Part Time, and 3% Contract. Highlights an 27% Physical, 4% Hybrid, and 69% Remote job distribution, with an average salary of $123,849 per year, or $59.5 per hour.
Remote Analytics Engineer & AI Trainer

Remote Analytics Engineer & AI Trainer

DataAnnotation

Springfield, IL • Remote

$40/hr

Full-time

Posted 17 days ago

Job description

A cutting-edge AI company is looking for experienced quantitative professionals to evaluate AI-generated quantitative analysis and provide valuable feedback. The role is fully remote and allows flexible working hours with an hourly pay starting at $40+. Candidates should possess at least 2 years of quantitative experience, coding capabilities, and strong statistical knowledge.

Ideal backgrounds include data science, statistics, and economics, among others. This position offers the opportunity to help shape the future of AI systems. #J-18808-Ljbffr

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