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Remote Predictive Maintenance Jobs in Atlanta, GA

HSSE Coordinator

Tucker, GA ยท On-site +1

This is an office, remote or hybrid based role. The HSSE&S Coordinator role requires a high level ... Continually improve HSSE&S performance through implementation and reporting of predictive KPIs.

Define and maintain technical standards for data architecture, modeling, and AI integration to ... Integrate AI/ML models into data workflows, focusing on automated insight generation, predictive ...

Senior Reserving Actuary

Atlanta, GA ยท Remote

$170K - $230K/yr

Our SaaS platform uses transparent machine learning and predictive analytics to improve the speed ... Developing and maintaining strong relationships with our delivery partners (key consulting and ...

Cloud FinOps Architect

Atlanta, GA ยท On-site +1

$62.50 - $79.50/hr

Remote Work: Hybrid Job Number: R0248199 Location: Atlanta,GA,US Share job via: Share Cloud FinOps ... Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client ...

... and remote resources to get the job done - consistently Here is the Job details: Title: Data ... Maintains and enhances the professional and business relationship with internal stakeholders.

Data Scientist

Atlanta, GA ยท On-site +1

$99K - $225K/yr

Remote Work: Hybrid Job Number: R0247378 Location: Atlanta,GA,US Share job via: Share Data ... Experience developing predictive data models, quantitative analyses, and visualization of targeted ...

Showing results 41-53

Remote Predictive Maintenance information

See Atlanta, GA salary details

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$54

How much do remote predictive maintenance jobs pay per hour?

As of Sep 8, 2026, the average hourly pay for remote predictive maintenance in Atlanta, GA is $30.36, according to ZipRecruiter salary data. Most workers in this role earn between $22.21 and $36.78 per hour, depending on experience, location, and employer.

What is remote predictive maintenance?

Remote predictive maintenance is a technology-driven approach that uses sensors, data analytics, and machine learning to monitor equipment performance and predict potential failures before they occur, all from a remote location. This allows maintenance teams to address issues proactively, reducing unplanned downtime and maintenance costs. By leveraging real-time data and remote monitoring, organizations can improve equipment reliability, optimize maintenance schedules, and ensure safer operations, even without being physically present at the equipment site.

How does a Remote Predictive Maintenance specialist typically collaborate with onsite teams to resolve equipment issues?

A Remote Predictive Maintenance specialist works closely with onsite maintenance and engineering teams by analyzing machine data, identifying potential issues before they lead to failures, and communicating actionable insights. Collaboration often involves regular virtual meetings, sharing real-time dashboards, and providing detailed reports or recommendations. The specialist may also guide onsite staff through troubleshooting steps or suggest preventive measures to minimize downtime, ensuring seamless integration between remote monitoring and hands-on repairs.

What are the key skills and qualifications needed to thrive as a Remote Predictive Maintenance specialist, and why are they important?

To thrive as a Remote Predictive Maintenance Specialist, you need a solid background in engineering or industrial maintenance, along with expertise in data analysis and condition monitoring. Familiarity with predictive maintenance software, IoT sensors, and data visualization tools is typically required, and certifications such as Certified Maintenance & Reliability Professional (CMRP) are advantageous. Strong problem-solving abilities, attention to detail, and effective communication skills help specialists interpret data and coordinate with on-site teams. These skills ensure accurate diagnosis of equipment issues, minimize downtime, and optimize asset performance in remote industrial environments.

What is the difference between Remote Predictive Maintenance vs Remote Maintenance Technician?

AspectRemote Predictive MaintenanceRemote Maintenance Technician
CredentialsTechnical certifications in predictive analytics, IoT, or condition monitoringTechnical certifications in general maintenance, HVAC, electrical, or mechanical systems
Work EnvironmentPrimarily remote, using sensors, software, and data analysis toolsPrimarily remote or on-site, focusing on repairing and maintaining equipment
Industry UsageManufacturing, energy, utilities, and industrial sectorsManufacturing, facilities management, and industrial sectors

Remote Predictive Maintenance specialists focus on analyzing data remotely to predict equipment failures, while Remote Maintenance Technicians perform repairs and routine maintenance, often on-site. Both roles require technical skills, but predictive maintenance emphasizes data analysis and remote diagnostics, whereas maintenance technicians focus on hands-on repairs.

What are popular job titles related to Remote Predictive Maintenance jobs in Atlanta, GA?

For Remote Predictive Maintenance jobs in Atlanta, GA, the most frequently searched job titles are:

What job categories do people searching Remote Predictive Maintenance jobs in Atlanta, GA look for?

The top searched job categories for Remote Predictive Maintenance jobs in Atlanta, GA are:

What cities near Atlanta, GA are hiring for Remote Predictive Maintenance jobs?

Cities near Atlanta, GA with the most Remote Predictive Maintenance job openings:

Sr. Workforce Management Systems Analyst - Alvaria WFM

Chamblee, GA โ€ข Remote

Wisemen Multimedia, LLC
IT Servicesย โ€ขย 11 - 50 employees

Full-time

Re-posted 11 days ago


Job description

Job Description:
Wisemen Multimedia, LLC is seeking a skilled Sr. Workforce Management Systems Analyst to join our Contact Center Support team. Our team supports the management of the largest private, secured, civilian government toll-free telephony infrastructure in the United States. Provide technical support to multiple user groups located at 30+ local and remote IRS service centers.
The Sr. Workforce Management Systems Analyst is accountable for supporting the development of accurate operational forecasts for volumes, average handle time, and shrinkage based on historical patterns and predictive analytics, utilizing multiple forecasting techniques. The selected candidate will be charged with identifying, researching, and data abnormalities. This position will work closely with business leaders to gain insight into the day-to-day operations of the organization and project impact of future initiatives. As such, partnership with all areas of the business and quantifying impact will be a critical requirement of this role. Candidates should be experienced in analytical and critical-thinking skills, leadership communication, contact workforce management experience, and have a proven track record of collaboration within cross-functional organizations.
Primary Duties & Responsibilities:
  • Establish ad-hoc reports, templates, and information (Commissioner mandates, FEMA, emergency procedures).
  • Make recommendations for improvements in call statistics.
  • Capture web analytics data primarily through Alvaria WFM.
  •  Develop and maintain statistical forecast models for workload and staffing requirements, including forecast vs. actual trends, and forecasting for trend changes due to seasonal variations and other operational variables.
  • Utilize performance analytics tools to identify agent and volume behaviors for future forecast and schedule scenarios and recommend action items to drive efficiencies and improve workflow.
  • Utilizes advanced SQL programming to manipulate, forecast, and project models that operationalize, optimize, and drive business performance.
  • Ensure governance and compliance for best-in-class standard operating procedures (SOPs) related to forecasting, scheduling, and performance analytics.
  • Create scenarios and present comprehensive recommendations for strategic staffing and hiring plans to ensure cost center optimization.
  • Identify and communicate areas for continual improvement of service levels across the operation, recommending and initiating improvements necessary to attain expected targets.
  • Review and analyze results and report on deviations from forecasts for data validation and root cause analysis.
  • Review and identify trends or patterns of practices/activities that impact operational service level results.
  • Measure and provide hindsight analysis for forecast accuracy and scheduling efficiency used for operational planning.
  • Establish a regular cadence with business leaders to share insights/recommendations regarding volumes, average handle time, shrinkage, and hiring plans.
  • Additional duties and responsibilities as assigned.

Qualifications:
  • Bachelor’s degree in business, accounting, finance, statistics, or economics, or an equivalent combination of education and work experience.
  • Minimum of 8 plus years’ experience in call-center forecasting.
  • Advanced Excel skills and experience in formulas, arrays, table formatting, conditional formatting, graphs, pivot table reporting and Power BI.
  • Strong IT background in troubleshooting contact center issues with recording software, including Verint 360.
  • Hands-on experience with WFM Software, experience with Alvaria is required.
  • Exceptional analytical and problem-solving skills, specifically tailored to workforce optimization.
  • In-depth knowledge of workforce management tools, processes, and best practices.
  • Experience with Contact Center technology, including Cisco, Verint, or Nice.
  • Familiarity with relevant regulations and compliance requirements specific to workforce management.
  • Understanding of forecasting and value-maximization techniques.
  • Able to host meetings and discuss contact center issues.
  • Must be able to write a standard operating procedure or desk-side guide.