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Remote Industrial Engineering Analyst Jobs in Springfield, MA

Marmon

Vice President, Strategic Markets

East Granby, CT · Remote

Marmon Industrial Energy and Infrastructure As a part of the global industrial organization Marmon ... This position is 100% remote in the USA The Vice President of Strategic Markets provides leadership ...

Trilon

Senior Mechanical Engineer - Building Systems

Hartford, CT · On-site +1

$105K - $139K/yr

  • Medical

  • PTO

This role combines hands-on engineering, project leadership, and client engagement, making it well ... This position may sit fully remote with travel as needed to job sites within the Northeast. * Lead ...

FHR

MO416- Power Platform developer 64265

Hartford, CT · Remote

100% Remote. Our direct client has an opening for a Power Platform developer 64265 This position is ... The candidate will analyze data to drive business processes * Develop and maintain concise end user ...

nLeague

SQL server developer

Hartford, CT · Remote

CT CJIS Remote Job Project/System Overview Connecticut's Criminal Justice Information System (CJIS ... The key purpose of the CISS Analytics is for the CJIS Analytics sub-committee to utilize it to help ...

IMI Plc - Legacy Precision

Strategic Sourcing Manager

Palmer, MA · On-site +1

$95K - $115K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Industrial Automation, Process Automation, Climate Control, Life Science & Fluid Control and ... This role is primarily remote. Occasional onsite support is expected during major projects and ...

IMI Plc - Legacy Precision

Strategic Sourcing Manager

Palmer, MA · On-site +1

$95K - $115K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Industrial Automation, Process Automation, Climate Control, Life Science & Fluid Control and ... This role is primarily remote. Occasional onsite support is expected during major projects and ...

Finalsite

Staff Site Reliability Engineer

Glastonbury, CT · On-site +1

$180K - $250K/yr

LOCATION 100% Remote - Anywhere within the US RESPONSIBILITIES * Design, improve, and maintain ... Partner with engineering teams to support platform modernization and infrastructure reliability

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Showing results 41-60

All JobsIndustrial Engineering Analyst JobsRemote Industrial Engineering Analyst JobsRemote Industrial Engineering Analyst Jobs in Springfield, MA

Remote Industrial Engineering Analyst information

See Springfield, MA salary details

$52.3K

$98.2K

$132K

How much do remote industrial engineering analyst jobs pay per year?

As of Aug 13, 2026, the average yearly pay for remote industrial engineering analyst in Springfield, MA is $98,246.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,700.00 and $98,200.00 per year, depending on experience, location, and employer.

What is the difference between Remote Industrial Engineering Analyst vs Remote Manufacturing Process Engineer?

AspectRemote Industrial Engineering AnalystRemote Manufacturing Process Engineer
Required CredentialsBachelor's in Industrial Engineering, certifications like Six SigmaBachelor's in Mechanical or Industrial Engineering, process improvement certifications
Work EnvironmentData analysis, process optimization, reportingProcess design, equipment optimization, production workflows
Employer & Industry UsageConsulting firms, manufacturing companies, logisticsManufacturers, production plants, industrial firms
Common Search & ComparisonYesYes

The Remote Industrial Engineering Analyst focuses on analyzing and improving industrial processes through data and efficiency strategies, often working in consulting or corporate settings. In contrast, the Remote Manufacturing Process Engineer is more involved in designing and optimizing manufacturing processes and equipment. Both roles require similar educational backgrounds and certifications but differ in daily tasks and industry focus.

How does a remote industrial engineering analyst typically collaborate with on-site teams and stakeholders?

As a Remote Industrial Engineering Analyst, effective collaboration with on-site teams is crucial despite the physical distance. This is typically achieved through regular virtual meetings, video conferences, and collaborative platforms such as project management tools and shared documents. Analysts often rely on detailed process data, digital simulations, and real-time feedback from on-site contacts to analyze and optimize workflows. Building strong communication channels and proactively engaging with team members helps ensure project goals are met and challenges are addressed promptly.

What are the key skills and qualifications needed to thrive as a remote industrial engineering analyst, and why are they important?

To thrive as a Remote Industrial Engineering Analyst, you need strong analytical skills, a solid foundation in industrial engineering principles, and typically a bachelor's degree in industrial engineering or a related field. Familiarity with data analysis tools like Excel, Minitab, or Python, as well as experience with process modeling and simulation software, is often required. Excellent problem-solving abilities, effective communication, and self-motivation are crucial soft skills for remote collaboration and independent work. These skills enable analysts to identify process improvements, optimize systems, and ensure productivity while working remotely.

What is a remote industrial engineering analyst?

A Remote Industrial Engineering Analyst is a professional who evaluates and improves business processes, production systems, and workflows to enhance efficiency, reduce costs, and optimize resource use, all while working from a remote location. They use data analysis, modeling, and optimization techniques to recommend process improvements and support decision-making. These analysts may work in industries such as manufacturing, logistics, healthcare, or consulting. Their responsibilities often include collecting and analyzing operational data, identifying inefficiencies, and collaborating with teams virtually to implement solutions. The remote aspect allows them to perform their duties without being physically present at a specific site.
Remote Industrial Engineering Analyst jobs near you
Infographic showing various Remote Industrial Engineering Analyst job openings in Springfield, MA as of August 2026, with employment types broken down into 85% Full Time, 10% Part Time, 4% Contract, and 1% Nights. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $98,246 per year, or $47.2 per hour.

Knowledge Graph Engineer / Ontologist

The Hartford Financial Services Group, Inc.

Hartford, CT • On-site, Remote

Full-time

Re-posted 19 days ago

The Hartford rating

8.8

Company rating: 8.8 out of 10

Based on 121 frontline employees who took The Breakroom Quiz

57th of 306 rated insurance

Job description

Dir Data Engineering - GE06AE
We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals - and to help others accomplish theirs, too. Join our team as we help shape the future.
The Ontologist (Knowledge Graph Engineer) is responsible for designing, implementing, and operationalizing enterprise semantic models, ontologies, and knowledge representations that provide meaning, context, and explainability for AI-driven analytics, agentic systems, and decision automation.
This role ensures that business concepts, entities, relationships, and behaviors are explicitly modeled and consistently applied across data products and AI systems, enabling reuse, trust, reasoning, and scalable AI adoption across Customer, Operations, and Enterprise domains. This role is part of the Customer Data Ecosystem (CDE) and operates at the intersection of business semantics, data architecture, and AI enablement, translating complex domain knowledge into production-ready semantic assets that are consumable by both humans and machines.
This role can have a Hybrid or Remote work schedule. Candidates who live near one of our office locations will have the expectation of working in an office 3 days a week (Tuesday through Thursday) Candidates who do not live near an office will have a remote work arrangement, with the expectation of coming into an office as business needs arise. Candidates must be eligible to work in the US without company sponsorship.
Primary Job Responsibilities
  • Lead the design and execution of enterprise-scale semantic layers to standardize business meaning and enable trusted analytics, AI, and Agentic use cases.
  • Define and operationalize ontologies, context graphs, and knowledge graphs across domains to power reasoning, explainability, and decision intelligence.
  • Enable semantic-first AI and Agentic analytics, ensuring LLMs and agents can consume governed business context, metrics, and rules.
  • Define canonical semantic vocabularies that standardize meaning across structured and unstructured data sources.
  • Drive production-scale execution of semantic and knowledge platforms with strong standards for performance, governance, security, and lifecycle management.
  • Evangelize Agentic Data Engineering, driving adoption through patterns, playbooks, and real-world deployments across the enterprise.
  • Define and promote standards and best practices for semantic modeling and ontology reuse across delivery teams.
  • Partner with architects and engineers to embed semantic models into data products, AI pipelines, and activation layers.
  • Work closely with AI Data Architects and AI Data Engineers to operationalize ontologies into production systems (e.g., via graphs, metadata services, APIs).
  • Align ontologies with enterprise data governance, lineage, and quality standards.
  • Enable explainability by ensuring AI outputs can be traced back to governed semantic definitions.
  • Serve as the enterprise authority on semantic engineering and ontology practices.
  • Contribute to communities of practice, reference guidance, and internal enablement materials.

Skills & Experience
  • 8-12+ years of hands-on experience in semantic layer architecture, ontology modeling, and knowledge graph design at enterprise scale.
  • Deep, hands-on expertise with RDF, OWL (OWL2), RDFS, SKOS, SPARQL (querying, optimization, semantic analytics), and W3C semantic web standards
  • Proven experience designing and operating knowledge graphs at enterprise scale
  • Hands-on experience with graph or triple-store technologies (e.g., Neo4j, Neptune, TigerGraph, Spanner Graph)
  • Experience integrating knowledge graphs with LLMs, RAG pipelines, vector stores, and Agentic frameworks.
  • Strong understanding of AI consumption patterns, including embeddings, grounding, and explainability
  • Experience integrating semantic layers with data platforms, APIs, metadata systems, and AI pipelines
  • Ability to translate complex domain knowledge into formal, machine-readable semantic structures
  • Strong understanding of context-aware data engineering and semantic interoperability.
  • Proven ability to move from strategy → pilot → scaled enterprise capability.
  • Strong executive influence and thought leadership in Agentic analytics and AI-native data engineering.
  • Hands-on experience with AWS, GCP, and Snowflake
  • Excellent communication, presentation, and leadership skills.

Education, Certifications and Licenses
  • Bachelor's or Master's degree in Computer Science, Engineering, or related field, or equivalent work experience.

Compensation
The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford's total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:
$156,000 - $234,000
Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age
About Us | Our Culture | What It's Like to Work Here | Perks & Benefits

What The Hartford employees say

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Benefits

Hours and flexibility

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About Hartford

Sourced by ZipRecruiter

Hartford Financial Services Group, widely recognized as The Hartford, is a renowned company based in Hartford, CT, US. Established in 1810, it has evolved into an industry leader in the insurance and financial services sector, proudly serving more than one million businesses in the US. The Hartford is committed to offering a gamut of insurance products that include homeowners, automobile, and business insurance as well as employee benefits and mutual funds. The company’s core values revolve around customer-focused innovations, diversity and inclusion, and ethical dealings that have earned them a customer-centric reputation. This shapes their mission which revolves around aiding their clients to overcome unforeseen obstacles and enhancing their wealth over time. Among the company's noted accomplishments is being consistently listed among the World's Most Ethical Companies, a testament to their unwavering commitment towards responsible business practices.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

Hartford, CT, US

Year founded

1810

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