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Data Analytics Professional Jobs in Virginia (NOW HIRING)

... professional with experience in data analytics, business process automation, application development, and enterprise collaboration technologies. Key Responsibilities * Analyze collected data and ...

... professional with experience in data analytics, business process automation, application development, and enterprise collaboration technologies. Key Responsibilities * Analyze collected data and ...

... professional with experience in data analytics, business process automation, application development, and enterprise collaboration technologies. Key Responsibilities * Analyze collected data and ...

Works under the general supervision of the Missing Child & Data Analytics Team Program Manager ... Promote a professional image. * Communicate with co-workers, management, Law Enforcement officials ...

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Data Analytics Professional information

See Virginia salary details

$24

$54

$93

How much do data analytics professional jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for data analytics professional in Virginia is $54.28, according to ZipRecruiter salary data. Most workers in this role earn between $43.61 and $61.49 per hour, depending on experience, location, and employer.

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

AspectData Analytics ProfessionalData Analyst
CredentialsOften requires a degree in data science, statistics, or related fields; certifications like CAP, Google Data AnalyticsTypically holds a degree in similar fields; certifications are common but not mandatory
Work EnvironmentWorks across various industries, often in teams, handling complex data projectsFocuses on data collection, cleaning, and basic analysis, often in business settings
Employer & Industry UsageUsed in tech, finance, healthcare, and consulting firmsCommon in retail, marketing, finance, and healthcare sectors

While both roles involve analyzing data, Data Analytics Professionals often handle more complex projects and require broader skill sets, including advanced analytics and data modeling. Data Analysts typically focus on data preparation and basic analysis to support decision-making. Both roles are essential in data-driven organizations, but the scope and complexity of tasks differ.

Is data analytics still a good career?

Data analytics is a strong and growing field with high demand for professionals skilled in data analysis, visualization, and tools like SQL, Python, and Tableau. The role offers opportunities across industries such as finance, healthcare, and technology, with a need for continuous learning and certification to stay current. Job prospects remain favorable due to the increasing reliance on data-driven decision-making.

What career can I do with data analytics?

A data analytics professional can pursue careers such as data analyst, business intelligence analyst, data scientist, or data engineer. These roles involve analyzing data to support decision-making, using tools like SQL, Excel, and visualization software, often requiring strong analytical skills and knowledge of statistical methods.

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

The most popular types of Data Analytics jobs in Virginia are:

What cities in Virginia are hiring for Data Analytics Professional jobs?

Cities in Virginia with the most Data Analytics Professional job openings:

Associate Data and Analytics Engineer

Virginia Polytechnic Institute and State University

Blacksburg, VA • On-site, Remote

$62K - $76K/yr

Full-time

Posted 14 days ago


Virginia Tech rating

7.8

Company rating: 7.8 out of 10

Based on 66 frontline employees who took The Breakroom Quiz

229th of 619 rated colleges and universities


Job description

Associate Data and Analytics Engineer
Job no: 537205
Work type: Administrative & Professional
Senior management: Vice President-Info Technology
Department: Enterprise Services
Location: Blacksburg, Virginia, Fully Remote, Hybrid
Categories: Information Systems / Technology
Job Description
Virginia Tech is seeking an Associate Data and Analytics Engineer to support the development, maintenance, and operation of enterprise data, analytics, and reporting solutions that enable institutional reporting, decision support, and data-informed decision-making across the university.
Working under the guidance of senior data and analytics professionals, this position will assist with developing data pipelines, supporting cloud-based data platforms, maintaining enterprise data assets, and creating reports, dashboards, and analytical solutions. The position provides an early-career professional with opportunities to develop proficiency in enterprise data management, analytics engineering, business intelligence, and cloud data platform operations using technologies such as Snowflake, AWS, SQL, Python, and Power BI.
Why Join Virginia Tech
Join a team that is building the next generation of enterprise data and analytics capabilities at one of the nation's leading R1 research universities. In this role, you will work with modern cloud data technologies, Snowflake, advanced analytics, and emerging AI capabilities while helping enable research, student success, academic operations, and institutional decision-making at enterprise scale.
Key Responsibilities
• Support the day-to-day operation of enterprise data and analytics platforms, including monitoring scheduled jobs, data pipelines, reports, dashboards, and platform services.
• Assist with troubleshooting data quality, integration, performance, and platform issues, escalating complex matters to senior team members as appropriate.
• Participate in incident response, issue resolution, service restoration, monitoring, alerting, and operational automation activities.
• Assist in developing, maintaining, testing, and monitoring data pipelines, integrations, and ETL/ELT workflows supporting Snowflake-based analytics solutions.
• Support the creation and maintenance of enterprise data assets, data models, and transformations used for institutional reporting and analytics.
• Develop SQL queries and scripts for data processing, reporting, analytics, validation, and operational needs.
• Perform data validation, testing, reconciliation, and quality assurance to support the accuracy, completeness, and reliability of enterprise data.
• Apply established data governance, metadata, data quality, security, privacy, and access-control standards and practices.
• Assist with developing and maintaining dashboards, reports, visualizations, and self-service analytics solutions using approved enterprise tools.
• Work with business and technical staff to understand reporting and analytics requirements and participate in report validation, user testing, and solution implementation.
• Provide customer support and guidance related to enterprise reporting and analytics services.
• Contribute to technical documentation, operational procedures, training materials, user adoption, knowledge sharing, and continuous improvement initiatives.
Required Qualifications
• Bachelor's degree in Computer Science, Information Technology, Information Systems, Business, Data Analytics, or a related field, or an equivalent combination of education, training, and experience.
• Foundational knowledge of data management, reporting, analytics, or business intelligence concepts.
• Experience writing scripts, version control (GIT) and the development life cycle.
• Experience developing SQL queries and working with relational databases.
• Experience supporting software applications, data solutions, reporting systems, or analytics platforms through coursework, internships, student employment, or professional experience.
• Ability to learn new technologies, business processes, and technical concepts.
• Demonstrated ability to communicate technical concepts and information effectively to both technical and non-technical audiences.
• Demonstrated analytical, troubleshooting, and problem-solving skills.
• Demonstrated ability to organize work, manage multiple priorities, adapt to changing business needs, and complete assigned responsibilities within established timelines.
Preferred Qualifications
• Exposure to cloud data platforms such as Snowflake or comparable technologies.
• Experience with a code release process (DevOps)
• Experience developing reports, dashboards, or data visualizations.
• Exposure to Python, automation, or data processing workflows.
• Familiarity with ETL/ELT, data modeling, data warehousing, or analytics engineering concepts.
• Experience with reporting or BI tools such as Power BI, Tableau, MicroStrategy, or similar platforms.
• Experience gained through internships, assistantships, capstone projects, student employment, or professional work.
• Familiarity with higher education data domains or enterprise administrative systems.
• Demonstrated ability to collaborate effectively with cross-functional teams, stakeholders and data stewards, while completing assigned work with appropriate guidance.
Overtime Status
Exempt: Not eligible for overtime
Appointment Type
Regular
Salary Information
$62,665 - $76,590
Hours per week
40
Review Date
8/18/2026
Additional Information
No visa sponsorship is available for this position.
The successful candidate will be required to have a criminal conviction check.
About Virginia Tech
Dedicated to its motto, Ut Prosim (That I May Serve), Virginia Tech pushes the boundaries of knowledge by taking a hands-on, transdisciplinary approach to preparing scholars to be leaders and problem-solvers. A comprehensive land-grant institution that enhances the quality of life in Virginia and throughout the world, Virginia Tech is an inclusive community dedicated to knowledge, discovery, and creativity. The university offers more than 280 majors to a diverse enrollment of more than 36,000 undergraduate, graduate, and professional students in eight undergraduate colleges, a school of medicine, a veterinary medicine college, Graduate School, and Honors College. The university has a significant presence across Virginia, including Blacksburg, the greater Washington, D.C. area, the Health Sciences and Technology Campus in Roanoke, sites in Newport News and Richmond, and numerous Extension offices and research institutes. A leading global research institution, Virginia Tech conducts more than $650 million in research annually.
Virginia Tech endorses and encourages participation in professional development opportunities and university shared governance. These valuable contributions to university shared governance provide important representation and perspective, along with opportunities for unique and impactful professional development.
Virginia Tech does not discriminate against employees, students, or applicants on the basis of age, color, disability, sex (including pregnancy), gender, gender identity, gender expression, genetic information, ethnicity or national origin, political affiliation, race, religion, sexual orientation, or military status, or otherwise discriminate against employees or applicants who inquire about, discuss, or disclose their compensation or the compensation of other employees or applicants, or on any other basis protected by law.
If you are an individual with a disability and desire an accommodation, please contact IT Human Resources at ithr@vt.edu during regular business hours at least 10 business days prior to the event.
Advertised: August 5, 2026
Applications close: August 18, 2026 Eastern Daylight Time
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About Virginia Tech

Sourced by ZipRecruiter

Virginia Tech, guided by its motto "Ut Prosim" (That I May Serve), embraces a hands-on, interdisciplinary approach to educate scholars as leaders and problem-solvers. As a comprehensive land-grant institution, it enriches the quality of life in Virginia and worldwide, fostering an inclusive community focused on knowledge, discovery, and creativity. With over 280 majors, the university serves a diverse student body of more than 36,000 across undergraduate, graduate, and professional programs. Virginia Tech's presence extends throughout Virginia, including campuses in Northern Virginia, Roanoke, Newport News, and Richmond, along with multiple Extension offices and research centers. As a prominent global research institution, it conducts over $500 million in research annually.

Industry

Colleges, universities, and professional schools

Company size

5,001 - 10,000 Employees

Headquarters location

Blacksburg, VA, US

Year founded

1872

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