2

Remote Data Collection Driver Jobs in Arlington, VA

Marketing Data Analyst II

VA · Remote

$89K - $110K/yr

This is a full-time, salaried, remote position. Employee must be located within the Continental U.S ... and data collection issues * Conduct ad hoc analyses and deep dives to support product and ...

New

Marketing Data Analyst II

Herndon, VA · Remote

$89K - $110K/yr

This is a full-time, salaried, remote position. Employee must be located within the Continental U.S ... and data collection issues * Conduct ad hoc analyses and deep dives to support product and ...

New

Marketing Data Analyst II

Washington, DC · Remote

$97K - $121K/yr

This is a full-time, salaried, remote position. Employee must be located within the Continental U.S ... and data collection issues * Conduct ad hoc analyses and deep dives to support product and ...

New

Collection Orchestration

Chantilly, VA · Remote

$160K - $200K/yr

None Potential for Remote Work: ORA_ON_SITE Description SAIC is seeking a Collection ... data flows, and integration efforts operate cohesively across the enterprise. Qualifications ...

Showing results 21-40

Remote Data Collection Driver information

See Arlington, VA salary details

$18

$29

$36

How much do remote data collection driver jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for remote data collection driver in Arlington, VA is $29.12, according to ZipRecruiter salary data. Most workers in this role earn between $26.83 and $29.86 per hour, depending on experience, location, and employer.

What is a remote data collection driver?

Remote Data Collection Drivers are professionals who operate vehicles equipped with specialized sensors or devices to gather data for various purposes, such as mapping, traffic analysis, or infrastructure assessment. Unlike traditional drivers, their primary responsibility is to follow predetermined routes while ensuring accurate data collection, often working independently and reporting findings digitally. This role may include using GPS equipment, cameras, or other technology to record information, and it often allows for flexible or remote scheduling. Remote Data Collection Drivers are typically employed by companies involved in geographic information systems (GIS), urban planning, or autonomous vehicle development.

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

To thrive as a Remote Data Collection Driver, you need a valid driver's license, a clean driving record, and strong navigation skills, often supported by familiarity with GPS and mapping technologies. Proficiency with mobile data collection devices, onboard cameras, and reporting software is typically required. Attention to detail, reliability, and strong time management help ensure accurate data collection and adherence to schedules. These skills are crucial for safely and efficiently gathering high-quality geographic or survey data to support organizational needs.

What are some common challenges faced by remote data collection drivers, and how can they be addressed?

Remote Data Collection Drivers often encounter challenges such as navigating unfamiliar routes, dealing with varied weather conditions, and ensuring data accuracy while on the move. To overcome these, drivers should familiarize themselves with route planning tools, maintain regular communication with their support team, and follow best practices for data verification. Staying organized and proactive helps ensure data is collected efficiently and safely, and most companies provide training and support to help drivers handle these challenges.

What is the difference between Remote Data Collection Driver vs Field Data Collector?

AspectRemote Data Collection DriverField Data Collector
CredentialsDriver's license, possibly a background checkSimilar credentials, often including a valid driver's license
Work EnvironmentPrimarily remote, traveling between locations, often using a vehicleOn-site at data collection points, often in various field locations
Employer & IndustryResearch firms, survey companies, market researchResearch organizations, government agencies, market research

The Remote Data Collection Driver and Field Data Collector roles share similarities in credentials and industry usage. The main difference lies in the work environment: Remote Data Collection Drivers primarily travel between locations using a vehicle, often working remotely, while Field Data Collectors typically work on-site at specific locations. Both roles are essential for gathering data in research and market analysis, but their daily tasks and settings differ significantly.

What job categories do people searching Remote Data Collection Driver jobs in Arlington, VA look for?

The top searched job categories for Remote Data Collection Driver jobs in Arlington, VA are:

What cities near Arlington, VA are hiring for Remote Data Collection Driver jobs?

Cities near Arlington, VA with the most Remote Data Collection Driver job openings:

Infographic showing various Remote Data Collection Driver job openings in Arlington, VA as of August 2026, with employment types broken down into 1% As Needed, 67% Full Time, 29% Part Time, and 3% Contract. Highlights an 99% Physical, and 1% Remote job distribution, with an average salary of $60,560 per year, or $29.1 per hour.

Data Analytics - Human Resources

A P Ventures

Columbia, MD • Remote

Full-time

Posted 2 days ago

New


Job description

Title: Data Analytics - Human Resources Location: Remote Company Overview At APV, were more than a technology company were a mission-driven powerhouse transforming organizations through advanced technology and human ingenuity. Our expertise spans AI/ML, data architecture, low-code/no-code development, Agile DevSecOps, and cloud services, delivering scalable and meaningful solutions. In our Emerging Technology Lab, innovation drives progress.

Our teams create intelligent chatbots, AI-powered assistants, robotic process automation (RPA), essay graders, and data analytics platforms. If youre passionate about solving complex challenges and shaping the future, APV is the place for you. Since 2007, weve partnered with federal and state agencies to deliver IT, training, and consulting solutions that achieve mission-critical outcomes. Built on accountability, integrity, and quality, we go beyond expectations.

With 70+ prime contracts and a proven record of client success, APV continues to grow and were looking for exceptional talent to grow with us. At APV, we Always Provide Value Position Summary: The HR Data Analyst will play a pivotal role in driving data-driven decision-making processes. This position involves analyzing workforce data, identifying trends, and providing actionable insights to support strategic initiatives.

The ideal candidate will possess a strong background in data analytics, HR metrics, and business intelligence tools, enabling them to effectively interpret complex data sets and translate findings into impactful recommendations.

Duties:

Data Collection and Management: Collect, compile, and organize large volumes of workforce data from various sources, including HRIS, payroll systems, employee surveys, and other relevant databases. Ensure data integrity, accuracy, and consistency by conducting regular audits and data validation checks. Maintain and update dashboards, ensuring they reflect current and relevant data.

Data Analysis and Interpretation: Conduct in-depth analysis of data to identify trends, patterns, and correlations related to employee performance, retention, recruitment, and other key HR metrics. Utilize statistical methods and advanced analytics techniques to uncover insights that drive strategies and business decisions. Interpret complex data sets and translate findings into clear, concise reports and presentations for senior leadership and other stakeholders.

Reporting and Visualization: Develop and maintain comprehensive workforce analytics reports and dashboards using business intelligence tools such as Tableau, Power BI, or similar platforms. Create visually appealing and easily understandable data visualizations that effectively communicate key insights and trends. Present findings and recommendations to leadership and cross-functional teams, providing context and actionable steps.

Process Improvement and Innovation: Continuously seek opportunities to enhance data collection, analysis, and reporting processes. Stay updated on industry trends, best practices, and emerging technologies in workforce analytics and data science. Propose and implement innovative solutions to improve the efficiency and effectiveness of HR analytics efforts. Collaboration and Stakeholder Management: Work closely with HR teams, IT, and other departments to ensure alignment and integration of data analytics initiatives.

Serve as a subject matter expert on data analytics, providing guidance and support to HR colleagues and stakeholders. Foster a data-driven culture within the organization by promoting the use of analytics in decision-making processes.

Education:

Bachelors degree in data science, Statistics, Computer Science, or a related field. Masters degree preferred.

Required Qualifications:

Minimum of 5 years of experience in data analytics, preferably within the HR domain. Proven track record of conducting complex data analysis and presenting actionable insights to senior leadership. Proficiency in data analysis tools and programming languages such as SQL, Python, R, and Microsoft Excel. Expertise in using business intelligence and data visualization tools like Tableau, Power BI, or similar platforms. Strong understanding of HRIS systems and workforce data sources. Exceptional analytical and problem-solving skills with the ability to interpret complex data sets. Strong attention to detail and commitment to data accuracy and integrity. Excellent written and verbal communication skills, with the ability to convey complex information in a clear and concise manner. Experience in creating and delivering presentations to diverse audiences.

Preferred Qualifications:

Experience with advanced analytics techniques such as machine learning, predictive modeling, and data mining. Knowledge of workforce planning methodologies and best practices. HR data and systems from the National Finance Center (NFC) Experience with Federal HR About APV APV is an Equal Employment Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, national origin, gender, age, religion, disability, sexual orientation, veteran status, or marital status.