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Remote Manufacturing Operations Analyst Jobs in Springfield, VT

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Remote Manufacturing Operations Analyst information

See Springfield, VT salary details

$14

$33

$56

How much do remote manufacturing operations analyst jobs pay per hour?

As of Aug 28, 2026, the average hourly pay for remote manufacturing operations analyst in Springfield, VT is $33.93, according to ZipRecruiter salary data. Most workers in this role earn between $24.18 and $40.58 per hour, depending on experience, location, and employer.

What is a remote manufacturing operations analyst?

A Remote Manufacturing Operations Analyst is a professional who monitors, analyzes, and optimizes manufacturing processes from a remote location, using digital tools and data analytics. They gather and interpret production data, identify inefficiencies, and recommend improvements to enhance productivity and quality. These analysts collaborate with on-site teams via virtual communication platforms and may help implement new technologies or automation solutions. Their work ensures that manufacturing operations run smoothly and efficiently, even without being physically present at the facility.

What are the key skills and qualifications needed to thrive as a remote manufacturing operations analyst?

To thrive as a Remote Manufacturing Operations Analyst, you need strong analytical skills, process improvement knowledge, and a background in manufacturing or industrial engineering, often supported by a relevant degree. Familiarity with data analytics tools (like Power BI or Tableau), ERP/MES systems, and Lean Six Sigma certification is highly valuable. Excellent communication, problem-solving abilities, and self-motivation help you collaborate effectively and drive initiatives in a remote environment. These skills and qualifications enable you to optimize operations, identify inefficiencies, and deliver actionable insights essential for manufacturing success.

How does a remote manufacturing operations analyst effectively collaborate with on-site teams to monitor and optimize production processes?

Remote Manufacturing Operations Analysts often leverage digital tools and real-time data dashboards to stay connected with on-site teams. Regular virtual meetings, clear communication protocols, and shared documentation platforms enable smooth collaboration on process improvements and troubleshooting. Analysts are expected to proactively address production issues by analyzing data, suggesting optimizations, and quickly alerting on-site staff to potential problems. Building strong relationships with both plant managers and technical teams is essential for driving continuous improvement and ensuring recommendations are implemented effectively.
Remote Manufacturing Operations Analyst jobs near you
Infographic showing various Remote Manufacturing Operations Analyst job openings in Springfield, VT as of August 2026, with employment types broken down into 73% Full Time, 8% Part Time, and 19% Contract. Highlights an 100% Remote job distribution, with an average salary of $70,581 per year, or $33.9 per hour.

Data Engineering and Analytics Manager

Keene, NH • On-site, Remote

Corning

8.3

Company rating: 8.3 out of 10

Based on 129 frontline employees who took The Breakroom Quiz

65th of 544 rated manufacturers

People enjoy working here

Good employer

Recommended by students

Learn more about Corningexternal

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted yesterday

New

Job description

Requisition Number: 77751

The company built on breakthroughs. 
Join us.             

Corning is one of the world's leading innovators in glass, ceramic, and materials science. From the depths of the ocean to the farthest reaches of space, our technologies push the boundaries of what's possible. 

How do we do this? With our people. They break through limitations and expectations- not once in a career, but every day. They help move our company,and the world, forward. 

At Corning, there are endless possibilities for making an impact. You can help connect the unconnected, drive the future of automobiles, transform at-home entertainment, and ensure the delivery of lifesaving medicines. And so much more. 

Come break through with us. 


The Specialty Materials segment manufactures products that provide more than 150 material formulations for glass, glass ceramics and fluoride crystals to meet demand for unique customer needs. Consequently, this segment operates in a wide variety of commercial and industrial markets that include display optics and components, semiconductor optics components, aerospace and defense, astronomy, ophthalmic products, telecommunications components and cover glass that is optimized for portable display devices.

Scope of the Role

The Division Data Engineering and Analytics Manager is responsible for leading the design, delivery, and ongoing improvement of the division's data engineering and analytics foundation. This role will oversee the development and support of scalable data pipelines, cloud-based data platforms, and curated data assets that enable trusted reporting, analytics, and future advanced analytics use cases.

This leader will play a critical role in stabilizing and maturing the current data engineering and Databricks environment, establishing delivery standards, and strengthening the data foundation needed to support business insights and decision-making. The role will also help shape and enable broader analytics capabilities by partnering with business, functional, and technology teams to ensure data is reliable, governed, and fit for use.

The ideal candidate combines strong data engineering and platform experience with people leadership, delivery discipline, and an understanding of how data supports analytics, business performance, and future advanced analytics opportunities.

This role reports to the Senior Manager, Division Data & Analytics (Division Data Office) and works closely with business stakeholders, functional partners, enterprise IT, analytics teams, and data governance partners.

Key Responsibilities

Data Engineering and Platform Leadership

  • Lead the day-to-day management, support, and enhancement of the division's data engineering environment, including Databricks and related data platform capabilities.

Analytics Enablement

  • Build and maintain curated, trusted, and reusable data assets that support reporting, dashboards, self-service analytics, and business intelligence.

Team Leadership and Delivery Management

  • Lead, coach, and develop data engineering resources, including internal team members and partners as applicable.

Data Quality, Governance, and Controls

  • Drive platform data governance partnering with business, and functional stakeholders to improve data quality, lineage, controls, and ownership across the data lifecycle.

Future-State Analytics and Advanced Analytics Enablement

  • Help build the data foundation required to support future advanced analytics, data science, and AI use cases.

Required Qualifications

  • Bachelor's degree in Computer Science, Information Systems, Data Analytics, Engineering, or related field.
  • 5+ years of experience in data engineering, data integration, analytics engineering, or related data platform roles.
  • 2+ years of experience leading teams, projects, or delivery efforts in a data and analytics environment.
  • Hands-on experience with modern data platforms and cloud-based data engineering solutions, including Databricks or similar technologies.
  • Strong experience in designing, building, and supporting data pipelines, ETL/ELT processes, and curated data models.
  • Experience with SQL and one or more programming/scripting languages such as Python, Scala, or similar.
  • Experience working with BI, reporting, or analytics teams to support trusted data consumption.
  • Strong understanding of data quality, governance, controls, and metadata/lineage concepts.
  • Demonstrated ability to work across business and technology teams and communicate effectively with technical and non-technical stakeholders.

Preferred Qualifications

  • Experience in manufacturing, supply chain, operations, finance, or other complex enterprise environments.
  • Experience with cloud data ecosystems such as Azure, AWS, or GCP.
  • Familiarity with advanced analytics, machine learning, or AI data preparation requirements.
  • Experience supporting enterprise-scale reporting and dashboard environments.
  • Experience implementing or supporting data governance practices and operating models.
  • Knowledge of DevOps, DataOps, CI/CD, and automated testing practices for data pipelines.

This position does not support immigration sponsorship.  


The range for this position is  $126,898.00 - $174,486.00 assuming full time status. Starting pay for the successful applicant is dependent on a variety of job-related factors, including but not limited to geographic location, market demands, experience, training, and education. 

A job that shapes a life. 

Corning offers you the total package. 

Your well-being is our priority. Our compensation and benefits package supports your health and wellness, financial aspirations, and career from day one.

  • Company-wide bonuses and long-term incentives align with key business results and ensure you are rewarded when the company performs well. When Corning wins, we all win.
  • As part of our commitment to your financial well-being, we provide a 100% company-paid pension benefit with fixed contributions that grow throughout your career. Combined with matching contributions to your 401(k) savings plan, Corning's total contributions to your retirement accounts can reach between 7% and 12% of your pay, depending on your age and years of service.
  • Our health and well-being benefits include medical, dental, vision, paid parental leave, family building support, fitness, company-paid life insurance, disability, disease management programs, paid time off, and an Employee Assistance Program (EAP) to support you and your family.  
  • Getting paid for our work is important, but feeling appreciated and recognized for those contributions motivates us much more. That's why Corning offers a recognition program to celebrate successes and reward colleagues who make exceptional contributions. 

We prohibit discrimination on the basis of race, color, gender, age, religion, national origin, sexual orientation, gender identity or expression, disability, veteran status or any other legally protected status.

Corning is committed to providing equal employment opportunities and considers requests for reasonable accommodations in accordance with applicable laws. Individuals with disabilities or sincerely held religious beliefs may request reasonable accommodations to participate in the application or interview process, perform essential job functions, or access other benefits and privileges of employment. To submit a request for reasonable accommodation related to disability or religion, please contact us at accommodations@corning.com.

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