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Industrial Data Analyst Jobs (NOW HIRING)

We're hiring passionate builders to shape the future of industrial intelligence. Role Overview Are ... Map and analyze plant operations, shop floor, and production data * Conduct current-state ...

Industrial Data Analytics Engineer

Mcelhattan, PA ยท On-site

$64K - $86K/yr

... Industrial or Manufacturing Engineering degree with Data Analytics specialization preferred โ€ข Specific Skills and/or Experience with Software, Equipment, etc.: โ€ข Databases and Platforms: Db2 SQL ...

MP) is rebuilding American industrial capability for a new era of autonomy, robotics, and ... The Data Analyst will be a key member of MP Magnetics analytics team. Position Responsibilities:

The Business Intelligence Data Analyst owns enterprise reporting, KPI governance, and operational ... Experience with Infor CloudSuite Industrial (CSI v10 multi-tenant cloud environment preferred)

The Business Intelligence Data Analyst owns enterprise reporting, KPI governance, and operational ... Experience with Infor CloudSuite Industrial (CSI v10 multi-tenant cloud environment preferred)

QUALIFICATIONS REQUIRED: โ€ข Master/Bachelor degree in Statistics, Economics, Industrial Engineering and/or Business. โ€ข 1-3 years work experience in data analysis. โ€ข Strong background in data ...

The Business Intelligence Data Analyst owns enterprise reporting, KPI governance, and operational ... Experience with Infor CloudSuite Industrial (CSI v10 multi-tenant cloud environment preferred)

Data Analyst

Los Osos, CA ยท On-site

$33.67 - $43.77/hr

Bachelor's Degree in Business Administration with a concentration in Information Systems/Industrial ... on data analytics projects involving the use of various programming languages and database ...

Job Overview: The Data Analyst will enter data and prepare various reports using MicroSoft Office Suite. Key Responsibilities: * Retrieves source files and work from the data center each day.

S. industrial base. Position Overview As a Data Analyst, you will lead complex analytical projects and advise IAD leadership on the development and execution of enterprise data strategies. Your ...

Data Analyst

Attica, IN ยท On-site

Bachelor's degree in Data Analytics, Industrial Engineering, Manufacturing Engineering, Economics, or a related field * Proficiency in Microsoft Excel and data analysis tools; experience with SQL, or ...

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Industrial Data Analyst information

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How much do industrial data analyst jobs pay per year?

As of Jun 26, 2026, the average yearly pay for industrial data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What does an industrial job mean?

An industrial job typically involves working in manufacturing, production, or related sectors such as energy, transportation, or machinery. For an Industrial Data Analyst, it means analyzing data from industrial processes, equipment, or systems to improve efficiency, safety, and productivity using tools like data visualization and statistical software.

What does an Industrial Data Analyst do?

An Industrial Data Analyst is responsible for collecting, interpreting, and leveraging data to improve processes within manufacturing and industrial environments. They analyze production data, equipment performance, and operational trends to identify inefficiencies and recommend improvements. Their role often involves using statistical software, database tools, and data visualization to help companies optimize productivity, reduce costs, and maintain quality standards. Collaboration with engineers, plant managers, and IT professionals is a key part of their work. Ultimately, Industrial Data Analysts play a crucial role in driving data-informed decisions in industrial settings.

What is the meaning of industrial?

In the context of an Industrial Data Analyst, 'industrial' relates to manufacturing, production, or large-scale systems within industries such as factories or plants. It involves analyzing data from industrial processes, equipment, and operations to improve efficiency and performance.

What does it mean to be industrial?

Being industrial generally relates to the manufacturing, production, or processing sectors of the economy. An industrial environment involves working with machinery, equipment, and processes used in factories or large-scale production facilities, often requiring knowledge of industrial systems, safety standards, and operational efficiency.

What are some common challenges an Industrial Data Analyst faces when working with manufacturing data?

Industrial Data Analysts often encounter challenges related to integrating data from diverse sources such as sensors, machines, and production systems, which may operate on different platforms and formats. Ensuring data accuracy and reliability can be difficult due to intermittent sensor failures or inconsistent data logging. Additionally, analysts must often balance the need for actionable insights with the complexities of large-scale data processing, all while collaborating closely with engineers and production managers to translate findings into operational improvements. Overcoming these challenges requires strong communication skills, technical expertise, and adaptability.

What is the difference between Industrial Data Analyst vs Manufacturing Data Analyst?

AspectIndustrial Data AnalystManufacturing Data Analyst
CredentialsBachelor's in Data Science, Industrial Engineering, or related fields; certifications like CAP or Six SigmaBachelor's in Data Analytics, Manufacturing Engineering, or related fields; similar certifications
Work EnvironmentFactories, industrial plants, supply chain settingsManufacturing plants, production lines, assembly facilities
Employer & Industry UsageIndustrial sectors, logistics, supply chain companiesManufacturing companies, automotive, electronics, consumer goods
Common Search & ComparisonYesYes

The Industrial Data Analyst and Manufacturing Data Analyst roles share similar credentials, work environments, and industry usage. The main difference lies in their focus areas: Industrial Data Analysts often work across broader industrial sectors and supply chains, while Manufacturing Data Analysts concentrate specifically on manufacturing processes and production efficiency. Both roles require strong analytical skills and familiarity with industrial or manufacturing systems.

What is the definition of an industry?

An industry is a group of businesses or organizations that produce similar goods or services and operate within a specific sector of the economy. Industrial Data Analysts often analyze data related to industry performance, trends, and market conditions to support decision-making. Understanding industry classifications helps in benchmarking and identifying key market players.

What are the key skills and qualifications needed to thrive as an Industrial Data Analyst, and why are they important?

To thrive as an Industrial Data Analyst, you need strong analytical skills, proficiency in statistical analysis, and a background in engineering, mathematics, or a related field. Familiarity with data analysis tools such as SQL, Python, R, and industrial data management systems is typically required, along with relevant certifications in data analytics. Strong communication, problem-solving abilities, and attention to detail help analysts translate complex data into actionable insights for stakeholders. These skills are vital for optimizing industrial processes, improving efficiency, and supporting data-driven decision-making in a competitive environment.
More about Industrial Data Analyst jobs
What cities are hiring for Industrial Data Analyst jobs? Cities with the most Industrial Data Analyst job openings:
What states have the most Industrial Data Analyst jobs? States with the most job openings for Industrial Data Analyst jobs include:
Infographic showing various Industrial Data Analyst job openings in the United States as of June 2026, with employment types broken down into 93% Full Time, 3% Part Time, 2% Contract, and 2% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.
Manufacturing Data Analyst

Manufacturing Data Analyst

Ascentt

Plano, TX โ€ข On-site

Full-time

Posted 25 days ago


Job description

Ascentt is building cutting-edge data analytics & AI/ML solutions for global automotive and manufacturing leaders. We turn enterprise data into real-time decisions using advanced machine learning and GenAI. Our team solves hard engineering problems at scale, with real-world industry impact. We're hiring passionate builders to shape the future of industrial intelligence.
Role Overview
Are you someone who thrives at the intersection of data and real-world operations?
We're looking for a Manufacturing Data Analyst / Senior Data Analyst to drive a large-scale data transformation initiative across manufacturing plants-working directly on the ground where impact truly happens.
What You'll Do
  • Work on-site at manufacturing plants to understand operations firsthand
  • Map and analyze plant operations, shop floor, and production data
  • Conduct current-state assessments and build data glossaries
  • Partner closely with business stakeholders, plant teams, and leadership
  • Identify high-impact, quick-win opportunities (micro-transformations)
  • Act as a trusted data consultant, not just a developer

What We're Looking For
  • 6+ years of experience in data-focused roles
  • Strong foundation in:
    • Data Warehousing, Data Modeling, Data Structures
    • Data Mapping, Data Analysis
    • Data Governance, Data Architecture, Data Glossary
  • Experience with manufacturing / plant / industrial data (highly preferred)
  • Strong consultative skills: stakeholder management, process mapping, requirements gathering, data strategy
  • Ability to translate complex data into simple business language

Tools & Technologies (Must Have)
SQL, Python, Power BI / Tableau, Snowflake, Azure / AWS, ETL, Data Pipelines
Industry Experience (Important)
Manufacturing, Automotive, Industrial, Supply Chain, Production, Heavy Industry
Nice-to-Have
Lean Manufacturing, Six Sigma, IIoT, Smart Factory, Industry 4.0
Location & Travel
  • Highly on-site role
  • Preferred: Kentucky, Indiana, North Carolina (Raleigh)
  • Open to candidates willing to travel frequently or relocate

Why This Role?
This isn't a typical data role.
You'll be:
  • Building trust with plant teams
  • Driving real transformation from the ground up
  • Acting as a bridge between data strategy and shop-floor execution