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Data Analytics Lead Remote Jobs in Virginia (NOW HIRING)

Data and Analytics Engineer

Blacksburg, VA · On-site +1

$100K - $120K/yr

Blacksburg, Virginia, Fully Remote, Hybrid Categories: Information Systems / Technology The Data and Analytics Engineer role is responsible for designing, developing, and supporting enterprise data ...

This is a remote position requiring all work be performed in the continental United States. US ... Bachelor's degree in Data Analytics, Statistics, Information Systems, or related discipline.

This role operates at the intersection of architecture, engineering, analytics, AI, and mission ... Lead end-to-end data modeling strategy, including canonical data models, semantic layers, MDM ...

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Data Analytics Lead Remote information

What does a data analytics lead do when working remotely?

A Data Analytics Lead working remotely is responsible for overseeing data analysis projects, managing a team of data analysts, and ensuring the delivery of actionable insights to support business decisions. They collaborate with stakeholders to define analytics goals, design data models, and implement data-driven strategies. Remote Data Analytics Leads use various digital tools to coordinate workflows, monitor project progress, and communicate findings effectively with both technical and non-technical team members. Their role is essential in driving data-centric initiatives and ensuring the accuracy and integrity of analytical results.

What is the difference between Data Analytics Lead Remote vs Data Analyst Remote?

AspectData Analytics Lead RemoteData Analyst Remote
Required CredentialsBachelor's/Master's in Data Science, Analytics, or related field; experience in leadership rolesBachelor's in Data Science, Statistics, or related field; entry to mid-level experience
Work EnvironmentLeading analytics projects, managing teams, strategic planningData collection, analysis, reporting, supporting decision-making
Employer & Industry UsageTech companies, finance, healthcare, consulting firmsSimilar industries, often within larger teams or departments

The main difference between Data Analytics Lead Remote and Data Analyst Remote lies in their responsibilities and seniority. The Lead typically manages analytics teams and oversees strategic projects, requiring more experience and leadership skills. In contrast, Data Analysts focus on data collection, analysis, and reporting tasks. Both roles are vital in data-driven organizations, but the Lead holds a broader scope and higher level of responsibility.

What are the key skills and qualifications needed to thrive as a data analytics lead in a remote setting?

To excel as a Data Analytics Lead remotely, you need expertise in data analysis, statistical modeling, and data visualization, typically supported by a degree in a quantitative field and relevant industry experience. Familiarity with tools like SQL, Python or R, BI platforms (such as Tableau or Power BI), and cloud data systems is crucial, along with certifications like Certified Analytics Professional or Google Data Analytics. Strong leadership, communication, and collaboration skills are essential for managing distributed teams and translating complex data insights for stakeholders. These competencies ensure effective decision-making, seamless project execution, and impactful data-driven strategies within a remote work environment.

How does a data analytics lead typically collaborate with cross-functional teams in a remote setting?

As a Data Analytics Lead working remotely, you'll frequently coordinate with stakeholders from product, engineering, marketing, and executive teams. This involves leading virtual meetings to clarify requirements, aligning on project goals, and presenting analytical findings in a clear, actionable format. You'll also mentor junior analysts, foster a collaborative team culture through digital platforms, and ensure data-driven insights are effectively integrated into business strategies. Strong communication skills and the ability to manage projects across time zones are key to success in this environment.
What are the most commonly searched types of Data Analytics Lead jobs in Virginia? The most popular types of Data Analytics Lead jobs in Virginia are:
What job categories do people searching Data Analytics Lead Remote jobs in Virginia look for? The top searched job categories for Data Analytics Lead Remote jobs in Virginia are:
What cities in Virginia are hiring for Data Analytics Lead Remote jobs? Cities in Virginia with the most Data Analytics Lead Remote job openings:

Associate Data and Analytics Engineer

Virginia Tech

Blacksburg, VA • On-site, Remote

$100K - $120K/yr

Full-time

Posted 4 days ago


Virginia Tech rating

7.8

Company rating: 7.8 out of 10

Based on 65 frontline employees who took The Breakroom Quiz

229th of 617 rated colleges and universities


Job description

Associate Data and Analytics Engineer

Apply now Back to search results 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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