2

Remote Data Analyst Jobs in Floyd, VA (NOW HIRING)

Meet the Team At Torc Robotics, our Safety Data Analysis team sits at the core of how we measure, understand, and continuously assess the safety performance of Torc Drive. This team blends ...

Senior ERP Service Owner

Blacksburg, VA · On-site +1

$69K - $89K/yr

Fully Remote or Hybrid if Local - Blacksburg, VA Senior ERP Service Owner - SDG IT (Power & Data ... Analysts, drive service improvements, and help align current ERP platforms with Moog's future-state ...

Front-end Developer

Blacksburg, VA · Remote

$106K - $123K/yr

Blacksburg, Virginia, Fully Remote, Hybrid Categories: Information Systems / Technology Enterprise ... Analyze user enhancement requests to include identifying potential problem areas and recommend ...

... and data management software. * Knowledgeable in real estate values and accepted real estate ... Ability to work in remote locations for long periods of time; * Excellent interpersonal skills and ...

Remote Data Analyst information

See Floyd, VA salary details

$27.8K

$67.5K

$111K

How much do remote data analyst jobs pay per year?

As of Aug 27, 2026, the average yearly pay for remote data analyst in Floyd, VA is $67,460.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,000.00 and $79,200.00 per year, depending on experience, location, and employer.

What does a remote data analyst do?

A Remote Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions, all while working from a location outside of a traditional office. They use statistical tools and software to interpret complex datasets, identify trends, and generate reports. Remote Data Analysts collaborate with team members via digital communication platforms and often present their findings to stakeholders to guide strategy and operations. Their work is essential in industries such as finance, healthcare, marketing, and technology, where data-driven decisions are crucial.

What does a remote data analyst do?

Remote data analysts use a range of methods to chart, examine, and analyze data for their clients. Unlike in-house data analysts, remote data analysts, work from home or a different location outside of the office. As a remote data analyst, your job is to evaluate a company’s data using a combination of mathematical inspection, transformation, and modeling techniques to simplify and condense it. Once the analysis is complete, you create reports for management to use to make critical decisions; this is why remote data analysts need to confirm the accuracy of the data. You may also need to present your reports to stakeholders.

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

To thrive as a Remote Data Analyst, you need strong analytical skills, proficiency in statistics, and a degree in a quantitative field such as mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Excel, Python or R, and visualization platforms such as Tableau or Power BI is typically required. Excellent communication, self-motivation, and time management are crucial soft skills for collaborating remotely and presenting insights effectively. These skills ensure accurate data-driven decision-making and effective remote teamwork in a digital work environment.

How do remote data analysts typically collaborate with team members and stakeholders given the virtual work environment?

Remote Data Analysts often rely on digital communication tools such as Slack, Microsoft Teams, and Zoom to stay connected with colleagues and stakeholders. They participate in regular virtual meetings, share dashboards or reports via cloud-based platforms, and provide data-driven insights to support decision-making. Successful remote analysts proactively communicate their findings, clarify requirements, and coordinate with cross-functional teams such as IT, marketing, or finance to ensure alignment on project goals and deliverables.

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

AspectRemote Data AnalystRemote Data Scientist
Required CredentialsBachelor's in Data, Statistics, or related field; often certifications in Excel, SQL, or TableauBachelor's or Master's in Data Science, Computer Science, or related; certifications in Python, R, machine learning
Work EnvironmentPrimarily office-based or remote, focusing on data analysis and reportingPrimarily remote, involving complex data modeling and predictive analytics
Employer & Industry UsageUsed across finance, marketing, healthcare, and retail sectorsCommon in tech, finance, and research industries

Remote Data Analysts focus on interpreting data, creating reports, and supporting decision-making, while Remote Data Scientists develop models, perform advanced analytics, and work on predictive insights. Both roles require strong analytical skills, but Data Scientists typically have more technical expertise in programming and machine learning.

Are remote data analyst jobs still in demand?

Remote data analyst jobs remain in high demand due to the increasing reliance on data-driven decision making across industries. Skills in data visualization, SQL, and statistical analysis are particularly valuable, and many companies continue to expand their remote analytics teams to access a broader talent pool.

Can I get remote jobs as a remote data analyst?

Remote data analyst positions are widely available and often require skills in data analysis tools like Excel, SQL, and Python. Many companies offer remote roles with flexible schedules, and candidates typically need a strong analytical background and good communication skills.

Can you work remotely as a remote data analyst?

Remote data analysts can often work from home or other locations, depending on the employer’s policies. Many companies offer remote positions that require skills in data analysis tools like Excel, SQL, or Python, and a reliable internet connection. Availability of remote work varies by organization and role requirements.

What are the most commonly searched types of Data Analyst jobs in Floyd, VA?

The most popular types of Data Analyst jobs in Floyd, VA are:

What cities near Floyd, VA are hiring for Remote Data Analyst jobs?

Cities near Floyd, VA with the most Remote Data Analyst job openings:

Infographic showing various Remote Data Analyst job openings in Floyd, VA as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $67,460 per year, or $32.4 per hour.

Safety Data Analyst

Blacksburg, VA • On-site, Remote

Torc Robotics
Trucking • 501 - 1,000 employees

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 27 days ago


Job description

About the Company
At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business.
A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners. Now a part of the Daimler family, we are focused solely on developing software for automated trucks to transform how the world moves freight.
Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer.
Meet the Team
At Torc Robotics, our Safety Data Analysis team sits at the core of how we measure, understand, and continuously assess the safety performance of Torc Drive. This team blends engineering, statistics, and large-scale data analysis to transform complex, multi-modal datasets into actionable safety insights.
What You'll Do
  • Develop, implement, and refine safety performance indicators, thresholds, and targets to proactively identify, assess, and manage safety risk across on-road and simulation-based data sources.
  • Apply statistically sound methods to evaluate safety performance, quantify uncertainty, and support risk-based decision-making in complex, real-world operational contexts.
  • Develop automated, production-ready analysis workflows that support continuous safety monitoring, milestone gating, incident response, and safety performance evaluation.
  • Ensure performance monitoring approaches appropriately reflect real-world deployment exposure, evolving operational contexts, and relevant safety requirements.
  • Balance analytical rigor with timeliness to support high-consequence, time-sensitive decisions.
  • Evaluate data quality, uncertainty, bias, and limitations to ensure findings are statistically defensible and useful for decision-making.
  • Support data visualization, reporting, and communication strategies that help technical teams, safety stakeholders, and executives understand insights, tradeoffs, and limitations.
  • Partner cross-functionally with engineering, product, verification and validation, simulation, metrics implementation, and safety teams to integrate workflows and align on data-driven decisions.
  • Maintain strong documentation of analytical methods, assumptions, workflows, requirements, safety metrics, and outputs to support traceability, collaboration, and regulatory readiness.
  • Ensure continuity of knowledge through peer review, cross-training, shared analytical patterns, and reproducible workflows that reduce single-point dependencies.

What You'll Need to Succeed
Advanced degree in Data Science, Computer Science, Math, or a closely related field:
  • B.S. with 5+ years of experience, or
  • M.S. with 3+ years of experience, or
  • PhD with 1+ years of experience
  • Proven experience in mechanical engineering, vehicle engineering, autonomous systems, robotics, or physics-based applications.
  • Experience with vehicle and sensor systems, cloud-based data technology, data visualization, and statistical analytics.
  • Strong background in applied statistics, safety analysis, risk estimation, or decision support.
  • Experience working with complex, real-world datasets rather than only clean or purely academic data.
  • Experience working with large-scale time-series data, vehicle data, sensor data, structured safety datasets, or other heterogeneous technical data sources.
  • Proficiency in programming languages, particularly Python and SQL.
  • Familiarity with agile development practices and continuous integration/deployment, including CI/CD workflows.
  • Strong time management and organizational skills with the ability to prioritize tasks effectively.
  • Excellent problem-solving skills with the ability to dissect complex issues and develop practical, creative solutions.
  • Ability to communicate statistical and technical concepts clearly to diverse teams and stakeholders.
  • Experience working in distributed teams and collaborating across different time zones.

Bonus Points
  • Background applying statistics to engineering or physics-based systems.
  • Familiarity with time-series analysis, uncertainty quantification, rare-event modeling, or reliability analysis.
  • Experience supporting executive, regulatory, or external stakeholder decision-making.
  • Experience in simulation evaluation, scenario coverage analysis, or safety-critical system verification.

Perks of Being a Full-time Torc'r
Torc cares about our team members and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers:
  • A competitive compensation package that includes a bonus component and stock options
  • 100% paid medical, dental, and vision premiums for full-time employees
  • 401K plan with a 6% employer match
  • Flexibility in schedule and generous paid vacation (available immediately after start date)
  • AD+D and Life Insurance

At Torc, we're committed to building a diverse and inclusive workplace. We celebrate the uniqueness of our Torc'rs and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, or disabilities.
Even if you don't meet 100% of the qualifications listed for this opportunity, we encourage you to apply.
Our compensation reflects the cost of labor across several geographic markets. Pay is based on a number of factors and may vary depending on job-related knowledge, skills, and experience. Torc's total compensation package will also include our corporate bonus and stock option plan. Dependent on the position offered, sign-on payments, relocation, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.
Job ID: 102867
Hiring Range for Job Opening
US Pay Range
$126,100-$151,300 USD