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Remote Cloud Data Analyst Jobs in Virginia (NOW HIRING)

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 ...

Financial Data Analyst

Richmond, VA · On-site

$101K - $131K/yr

About the Opportunity We are seeking a Financial Data Analyst to join our Finance team in a role ... Remote opportunities are available to candidates throughout the United States. Salary Range: $101 ...

Scientific Data Analyst

Vienna, VA · On-site +1

$85K - $115K/yr

This role will be 100% remote for the foreseeable future. In this role, you will manage and analyze quantitative epidemiological, clinical and/or behavioral data and provide output in the format ...

Senior Data Engineer

VA · Remote

$150K - $180K/yr

... analytical, and AI-driven initiatives. This is a full-time, salaried, remote position. Candidate ... Leverage Snowflake and modern cloud data platforms to ingest, transform, and optimize large ...

Sr Analyst - Data Analytics

VA · On-site +1

$86K - $109K/yr

This is a remote position. Essential Duties and Responsibilities: - Develop and deploy advanced ... cloud-based and modern data platform capabilities. - Identify and implement automation and AI ...

Data Architect III

Richmond, VA · Remote

$63 - $81.25/hr

We're looking for an experienced Cloud Data Architect to support the design, development, and governance of data architecture for a remote team focused on business intelligence and analytics. This ...

Senior Cloud Engineer

Chantilly, VA · Remote

$114K - $190K/yr

... IT, Data Analytics and Software Development. Elevate your career and make a difference. Your ... For Remote Opportunities), education and certifications as well as Federal Government Contract ...

Senior Cloud Engineer

Chantilly, VA · Remote

$114K - $190K/yr

... IT, Data Analytics and Software Development. Elevate your career and make a difference. Your ... For Remote Opportunities), education and certifications as well as Federal Government Contract ...

Showing results 21-40

Remote Cloud Data Analyst information

What is the difference between Remote Cloud Data Analyst vs Cloud Data Engineer?

AspectRemote Cloud Data AnalystCloud Data Engineer
Required CredentialsBachelor's in Data Science, Analytics, or related field; certifications like Microsoft Azure Data Scientist or AWS Data AnalyticsBachelor's or higher in Computer Science, Data Engineering, or related; certifications like AWS Certified Data Analytics or Google Cloud Professional Data Engineer
Work EnvironmentData analysis, reporting, visualization in cloud platforms, often collaborativeDesigning, building, maintaining data pipelines and infrastructure in cloud environments
Employer & Industry UsageUsed across finance, healthcare, marketing, and tech companies for data insightsCommon in tech, finance, and large enterprises for data infrastructure development

The Remote Cloud Data Analyst focuses on analyzing and interpreting data stored in cloud platforms, creating reports and visualizations. In contrast, a Cloud Data Engineer builds and maintains the data infrastructure and pipelines in cloud environments. Both roles require cloud platform certifications and work in similar industries, but their core responsibilities differ significantly.

What are the most commonly searched types of Cloud Data Analyst jobs in Virginia?

The most popular types of Cloud Data Analyst jobs in Virginia are:

What cities in Virginia are hiring for Remote Cloud Data Analyst jobs?

Cities in Virginia with the most Remote Cloud Data Analyst job openings:

Infographic showing various Remote Cloud Data Analyst job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 12% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution.

Safety Data Analyst

Torc Robotics

Blacksburg, VA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 4 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