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Virtual Data Automation Specialist information

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$76.5K

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How much do virtual data automation specialist jobs pay per year?

As of Aug 4, 2026, the average yearly pay for virtual data automation specialist in the United States is $76,465.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,000.00 and $98,500.00 per year, depending on experience, location, and employer.

What is the difference between Virtual Data Automation Specialist vs Data Analyst?

AspectVirtual Data Automation SpecialistData Analyst
Required CredentialsCertifications in data automation tools, SQL, and scriptingDegree in data science, statistics, or related field; sometimes certifications
Work EnvironmentRemote or virtual settings, focusing on automation tasksOffice or remote, analyzing data sets and creating reports
Employer & Industry UsageTech companies, finance, healthcare, where automation improves efficiencyBusiness, marketing, finance, and other sectors analyzing data for insights

The Virtual Data Automation Specialist primarily focuses on automating data processes using specialized tools and scripting, often working remotely. In contrast, Data Analysts analyze data to generate insights and reports. While both roles require strong analytical skills, the specialist emphasizes automation skills and technical tools, making their roles complementary but distinct in focus.

More about Virtual Data Automation Specialist jobs
What cities are hiring for Virtual Data Automation Specialist jobs? Cities with the most Virtual Data Automation Specialist job openings:
What are the most commonly searched types of Data Automation Specialist jobs? The most popular types of Data Automation Specialist jobs are:
What states have the most Virtual Data Automation Specialist jobs? States with the most job openings for Virtual Data Automation Specialist jobs include:
Infographic showing various Virtual Data Automation Specialist job openings in the United States as of July 2026, with employment types broken down into 95% Full Time, 2% Part Time, and 3% Contract. Highlights an 82% Physical, 6% Hybrid, and 12% Remote job distribution, with an average salary of $76,465 per year, or $36.8 per hour.

Data & Automation Specialist

Mullins Mechanical

Carrollton, GA • On-site

Other

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

Data & Automation Specialist

Position Overview

The Data & Automation Specialist is responsible for designing, developing, and maintaining operational reporting, dashboards, and automation solutions that improve business performance and efficiency across Mullins Mechanical. This role supports Operational Excellence initiatives by transforming data into actionable insights, ensuring data integrity across systems, and automating approved workflows to reduce manual effort and improve consistency.

The Data & Automation Specialist partners closely with business leaders, process owners, and system administrators to identify opportunities for automation, analytics, and continuous improvement while maintaining alignment with established business processes and systems of record. This position reports to the Director of Business Operations and is based in the Greenway office.

Key Accountabilities

Reporting & Dashboard Development

  • Design, develop, and maintain operational reports, dashboards, and visualizations that provide meaningful business insights.
  • Partner with business leaders to understand reporting requirements and key performance indicators.
  • Create standardized reporting solutions that improve visibility into operational performance.
  • Monitor reporting effectiveness and continually enhance reporting capabilities based on business needs.

Data Management & Governance

  • Ensure data accuracy, consistency, and integrity across reporting solutions and operational systems.
  • Validate and reconcile information between systems of record and reporting platforms.
  • Identify data quality issues and work with stakeholders to resolve discrepancies.
  • Support the development and maintenance of data standards, definitions, and reporting practices.

Automation Support & Process Improvement

  • Partner with the Systems Integrations Lead to identify opportunities to automate manual, repetitive, or error-prone business processes.
  • Assist in defining business requirements, documenting workflows, and evaluating automation opportunities.
  • Support the implementation, testing, validation, and adoption of automation solutions within approved business processes.
  • Monitor automation outcomes and identify opportunities for refinement and continuous improvement.
  • Develop reporting and performance metrics that measure the effectiveness of implemented automation solutions.
  • Document process changes and support end-user training and change management activities.

Operational Excellence Support

  • Support Operational Excellence initiatives through analytics, reporting, and performance measurement.
  • Develop data-driven insights that help leaders identify trends, opportunities, and areas for improvement.
  • Assist with continuous improvement efforts by providing process analysis and operational metrics.
  • Monitor key performance indicators to support organizational objectives.

Analytics & Continuous Improvement

  • Partner with departments across the organization to identify reporting, analytics, and process improvement opportunities.
  • Analyze operational data to uncover trends, bottlenecks, and areas for improvement.
  • Recommend standardized solutions that improve efficiency while maintaining alignment with approved business processes.
  • Support Operational Excellence initiatives by providing data-driven insights and performance monitoring.
  • Collaborate with the Systems Integrations Lead when automation opportunities require technical evaluation or implementation.

Additional responsibilities may be assigned based on business needs and the individual's development within the role.

Measures of Success

Success in the Data & Automation Specialist role is demonstrated by:

  • Accurate, reliable, and timely reporting that supports operational decision-making.
  • Dashboards and analytics that provide meaningful visibility into business performance.
  • Successful implementation of automation solutions that reduce manual work and improve process consistency.
  • Improved data quality and alignment across systems of record.
  • Measurable support of Operational Excellence initiatives through analytics and reporting.
  • Identification and implementation of automation opportunities that deliver business value.
  • Strong partnerships with business leaders and process owners across the organization.

Qualifications & Experience

  • Bachelor's degree in Business, Information Systems, Data Analytics, Computer Science, Engineering, or a related field preferred.
  • Experience developing operational reports, dashboards, and data visualizations.
  • Experience working with business intelligence and reporting platforms such as Power BI or similar tools.
  • Experience designing, implementing, and supporting workflow automation solutions.
  • Strong understanding of data management, data quality, and reporting best practices.
  • Ability to analyze business processes and identify opportunities for automation and improvement.
  • Strong analytical and problem-solving skills with attention to detail.
  • Ability to communicate technical concepts effectively to non-technical stakeholders.
  • Experience working with ERP, project management, HRIS, or operational systems preferred.
  • Strong organizational and project management skills with the ability to manage multiple priorities.

Working Conditions & Flexibility

  • Primary work location is the Greenway office in Carrollton, Georgia.
  • Standard office environment with frequent interaction across multiple departments.
  • Occasional travel to company offices, jobsites, or meetings may be required to support operational initiatives.
  • Ability to work with multiple software systems, reporting platforms, and business applications.
  • Ability to manage and prioritize multiple projects and deadlines.
  • Flexibility to support system implementations, reporting needs, and business improvement initiatives as required.