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Academic Data Analyst Jobs in Virginia (NOW HIRING)

Torc Robotics

Safety Data Analyst

Blacksburg, VA · On-site +1

Experience working with complex, real-world datasets rather than only clean or purely academic data ... Familiarity with time-series analysis, uncertainty quantification, rare-event modeling, or ...

AITHERAS, LLC

Junior Data Scientist

Arlington, VA · On-site

$100K - $120K/yr

... academic data work into federal mission analytics. Key Responsibilities * Collect, clean, validate, and analyze structured and semi-structured program data. * Build SQL, Python, and R scripts to ...

Cherokee Federal

Data Analyst

Arlington, VA · On-site

Data Analyst This position requires an active TS/Sensitive Compartmental Information (SCI ... Conducts continuous outreach to DoD (Department of Defense), interagency/LE partners, Academia, and ...

Cherokee Federal

Data Analyst

Arlington, VA · On-site

Data Analyst This position requires an active TS/Sensitive Compartmental Information (SCI ... Conducts continuous outreach to DoD (Department of Defense), interagency/LE partners, Academia, and ...

AITHERAS, LLC

Junior Data Scientist

Arlington, VA · On-site

$100K - $120K/yr

... academic data work into federal mission analytics. Key Responsibilities * Collect, clean, validate, and analyze structured and semi-structured program data. * Build SQL, Python, and R scripts to ...

LSU AgCenter

Data Analyst

Alexandria, VA · On-site

Data Analyst SUPERVISOR: Director, Office of Institutional Research & Effectiveness PURPOSE ... academic, student support and administrative areas. * Write programming scripts to enhance ...

Vertical Avi

Data, BI & AI Analyst

Alexandria, VA · On-site

Experience with BI tools, dashboards, data visualization, analytics, machine learning, or AI through work, academic, internship, or project experience. * Interest in aviation, association management ...

Vertical Avi

Data, BI & AI Analyst

Alexandria, VA · Hybrid

Experience with BI tools, dashboards, data visualization, analytics, machine learning, or AI through work, academic, internship, or project experience. * Interest in aviation, association management ...

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Academic Data Analyst information

See Virginia salary details

$33.7K

$81.9K

$134.8K

How much do academic data analyst jobs pay per year?

As of Aug 6, 2026, the average yearly pay for academic data analyst in Virginia is $81,931.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,000.00 and $96,200.00 per year, depending on experience, location, and employer.

What does an academic data analyst do?

An Academic Data Analyst is responsible for collecting, analyzing, and interpreting data related to academic institutions, such as student performance, enrollment trends, and faculty research metrics. They use statistical tools and data visualization techniques to provide insights that inform decision-making and improve educational outcomes. Academic Data Analysts often collaborate with administrators, faculty, and IT staff to ensure data accuracy and to support institutional goals.

How does an academic data analyst typically collaborate with faculty and administrative staff to support institutional decision-making?

Academic Data Analysts often work closely with faculty, department heads, and administrative teams to gather requirements, interpret data trends, and provide actionable insights. They may participate in meetings to discuss key metrics on student performance, enrollment, and curriculum effectiveness, translating complex data into understandable reports or visualizations. Effective communication and a collaborative mindset are essential, as analysts bridge the gap between raw data and strategic planning, ensuring stakeholders have the information needed to make informed decisions. This role frequently involves handling multiple projects simultaneously and adapting analyses to the evolving needs of the academic institution.

What are the key skills and qualifications needed to thrive as an academic data analyst, and why are they important?

To thrive as an Academic Data Analyst, you need strong analytical skills, proficiency in statistics, and typically a degree in data science, mathematics, or a related field. Familiarity with tools such as Python, R, SQL, and data visualization platforms like Tableau, as well as experience with institutional research databases, is often required. Attention to detail, problem-solving ability, and clear communication skills help translate complex data into actionable insights for academic stakeholders. These skills ensure accurate analysis and effective reporting, supporting data-driven decision-making in educational environments.
What are popular job titles related to Academic Data Analyst jobs in Virginia? For Academic Data Analyst jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Academic Data Analyst jobs in Virginia look for? The top searched job categories for Academic Data Analyst jobs in Virginia are:
What cities in Virginia are hiring for Academic Data Analyst jobs? Cities in Virginia with the most Academic Data Analyst job openings:
Academic Data Analyst jobs near you
Infographic showing various Academic Data Analyst job openings in Virginia as of July 2026, with employment types broken down into 61% Full Time, 36% Part Time, 1% Temporary, and 2% Contract. Highlights an 76% Physical, 1% Hybrid, and 23% Remote job distribution, with an average salary of $81,931 per year, or $39.4 per hour.

Safety Data Analyst

Torc Robotics

Blacksburg, VA • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 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

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