Manufacturing

Manufacturing Data Jobs

4 jobs found

1d ago

Data Engineer

Texas Instruments Dallas, TX

Dallas, TX

1d ago

Full time Analytics Business Analytics Business Intelligence

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Job Description

Texas Instruments seeks a Data Engineer to join the North Texas 300mm industrial engineering and advanced data analytics team in Dallas, TX onsite.

Responsibilities

Analyze complex operational challenges across multiple stakeholders to drive optimal solutions in a dynamic manufacturing environment.
Collaborate with stakeholders to provision data for decision making and analytics.
Develop data visualizations for internal and external customers.
Develop and maintain server side ETL pipelines and custom databases.
Formulate and code algorithms to support data transformation.
Troubleshoot system interruptions and harden processes against future occurrences.
Communicate effectively across functional, hierarchical, and cultural boundaries.
Assess emerging technologies and software solutions relevant to semiconductor manufacturing and integrate them into operations in the spirit of Lights Out manufacturing.
Demonstrate a strong understanding of manufacturing processes.
Automate data extraction and manufacturing processes.
Conduct operations performance analysis to support decision making.
Collect and validate operational performance data from automation and system logs to analyze the impact of process requirements.
Work with databases to extract critical data required to analyze production impact.
Analyze and maintain large data sets.
Apply strong project management skills to deliver initiatives on time.
Design and develop software solutions that significantly enhance operational efficiency.

Requirements

Bachelor's degree in System Engineering, Computer Science, Data Science or Information Systems; other engineering majors considered with demonstrated strong software development experience.
Minimum 3 years of relevant experience as a Data Engineer within the semiconductor or high tech manufacturing industry.
Proficiency in one or more programming languages such as Python, Java, C++ etc.
Proficiency with SQL queries.
Experience with data visualization platforms.
Ability to work in a clean room environment while wearing a smock.

Technologies

Python
Java
C++
SQL
Spotfire
Tableau
Power BI
Denodo
Linux
Git
Semiconductor MES

Unique Selling Features

Be part of the top TI North Texas 300mm industrial engineering and advanced data analytics team in a cutting edge environment with high growth potential.
Opportunities to learn new skill sets and be mentored by industry leaders.
We encourage outside the box thinking and creative problem solving for complex, dynamic manufacturing challenges.

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8d ago

Financial Data Analyst (Manufacturing Exp. Req'd)

Biter & Associates, LLC Lawrenceville, GA

Lawrenceville, GA

8d ago

$98k - $102k/yr Full time Analyst Analytical Skills Analytics

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Job Description

On-site, full-time Financial Data Analyst supporting forecasting, budgeting, and strategic decision-making by collecting, validating, and analyzing financial and operational data for a manufacturing and oil and gas focused client in Lawrenceville, GA.

Responsibilities

Collect, validate, and analyze financial and operational data to support forecasting, budgeting, and strategic decision-making.
Prepare recurring and ad hoc reports, build dashboards, and develop data models to identify trends, variances, and performance drivers.
Collaborate with finance and business stakeholders to define data requirements.
Perform data reconciliation and quality checks.
Present findings in clear, actionable formats.
Assist in improving reporting processes, document methodologies, and support special projects such as cost analysis, profitability studies, and scenario modeling.

Requirements

This is an in-office position.
Bachelor’s degree required.
Minimum 3 years of relevant experience.
Decipher corporate data and tool standards into practical guidance for local business areas to ensure consistent and accurate data usage.
Strong analytical skills with the ability to interpret complex datasets and translate findings into practical business insights.
Design and maintain standardized processes for analytics, reporting, and data quality management.
Supervise master data quality and collaborate with business owners to align with corporate standards and local requirements.
Confirm data is consistent, accurate, and trusted across systems so reporting remains dependable and operational issues are minimized.
Partner with business leaders to define analytical requirements, create ad-hoc reports, and dashboards to support KPI.
Leverage relevant data sources and performing advanced analytical modeling using large datasets to support strategic decision-making.
Lead productivity initiatives to support the automation of manual data processes including customizing global Power BI reports to support local needs and working with the IT team to migrate external reports to workspaces within the ERP system.
Interpret complex data into clear insights that directly influence forecasting, planning, cost management, and operational improvement.
Collaborate with the North American IT and the Global Digital Performance organization to evaluate current landscape, enhance artificial intelligence capabilities, and support financial data transitions on ERP upgrades.
Develop AI Agents (Copilot) to streamline and automate local business processes.
Advance digital capabilities that reduce manual effort, improve data accuracy, and modernize reporting tools across the business.
Provide oversight, training and first level support for business users using Power BI, Excel (including working with advanced functions and macros) and other analytical tools.
Collaborate across Finance, Sales, Operations, and IT functions to ensure alignment on analytics and reporting solutions.
Other duties as assigned.

Technologies

Power BI
Excel
VBA
Macros
Tableau
SQL
Power Query
DAX
Copilot
ERP system

Benefits

401(k)
Dental insurance
Health insurance
Life insurance
Paid time off
Vision insurance

Pay

Salary: USD 98,488 - 102,437 per year.

Work Location

In person, Lawrenceville, GA

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1mo ago

Manufacturing Product Data Analyst

Experis Grand Rapids, MI

Grand Rapids, MI

1mo ago Closed

$32 - $32/hr Full time Analyst Analytics Data Analysis

This position is no longer accepting applications (closed Jul 24, 2026).

Job Description

The Manufacturing Product Data Analyst role supports global Product Development teams within the IT Applied Data Enablement Organization. This onsite position in Grand Rapids focuses on creating and maintaining product data, applying data governance rules across PDM, MDM, PLM, ERP, PIM, and DAM, and ensuring data integrity across systems through strong cross-functional collaboration.

Responsibilities

Facilitate the creation and ongoing upkeep of product data models across Marketing, Engineering, Sales, Manufacturing, and Distribution
Design, load, and validate rules for MDM, PLM, ERP, PIM, and DAM to support product development, order fulfillment, and lifecycle management
Maintain data integrity and consistency across MDM, PLM, ERP, PIM, DAM, and related publications
Utilize PDM expertise to analyze, organize, and load product data with precision and efficiency
Interpret commercial and engineering data to apply pricing methods and determine product configurations
Lead testing and validation of product data and resolve database or procedural errors
Influence cross-functional strategies to improve product data efficiency and effectiveness
Manage electronic catalog downloads and release schedules
Participate in modernization efforts and strategic projects with quarterly time allocated for professional development

Requirements

Bachelors degree in Information Technology or related field, or equivalent experience
3–5 years of experience working with product data and databases
Strong database analysis and precise data structuring capabilities
Proficiency with SAP, Windchill, Microsoft Office, MDM, PLM, ERP, PIM, DAM, and mass loading tools
Knowledge of variant configuration methods and data modeling approaches
Excellent problem-solving, troubleshooting, and root-cause analysis skills
Ability to read and interpret technical documentation such as Statements of Line, Engineering documents, and Windchill structures
Experience creating scripts for mass uploads and ongoing process improvements
Strong communication skills with the ability to train and support cross-functional teams
Experience producing functional specifications and executable IT rules
Experience with ERP, MDM, PLM, and PIM systems
Agile (SCRUM or Kanban) experience preferred
Engineering exposure or collaboration with Engineering teams is highly valuable

Technologies

SAP, Windchill, Microsoft Office
MDM, PLM, ERP, PIM, DAM, PDM
Mass loading tools

Benefits

Opportunities to contribute to modernization initiatives and strategic projects
Dedicated time each quarter for learning and professional development
Collaborative work environment with global teams
Engagement in diverse roles and special assignments
Ability to influence project strategy and execution
Medical, prescription drug, dental, and vision plans
Health savings account and health flexible spending accounts
Dependent care flexible spending account
Supplemental life insurance and short/long term disability coverage
Business travel insurance
401(k) plan with employer match
Weekly paycheck

General Description

Support for new product launches and ongoing management of existing product data
Handle non-standard product requests through the specials process
Provide global support to teams across the United States, Europe, Asia, and Mexico

Compliance Expectations

Safeguard company assets and ensure proper segregation of duties
Adhere to business ethics, laws, and regulations
Protect proprietary information and intellectual property
Periodically reconcile assets with accounting records

Location and Compensation

Location: Grand Rapids, MI (onsite)

Hourly rate: USD 32 per hour

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2mo ago

Sr. Machine Learning Engineer, Cell Manufacturing

Tesla Austin, TX

Austin, TX

2mo ago Closed

Full time Analytics Data Analytics Deep Learning

This position is no longer accepting applications (closed Jun 8, 2026).

Job Description

Senior Machine Learning Engineer in Tesla's Global Cell Manufacturing Analytics at Giga Texas, based in Austin, TX (onsite), applying advanced ML to high-volume sensor and time-series data to optimize yield, quality, and production efficiency in cell manufacturing.

Responsibilities

Develop and productionize machine learning models for core manufacturing challenges such as defect detection, anomaly identification, yield forecasting, and process optimization
Perform rigorous statistical analysis and feature engineering on complex time-series, sensor, and process datasets while preventing temporal or batch leakage
Deliver end-to-end ML solutions, including validation frameworks, drift monitoring, conditional retraining, and metrics tied to factory cost and performance
Collaborate with process, quality, and materials experts to ensure models are grounded and deliver durable, scalable results

Requirements

Degree in a quantitative field such as Applied Mathematics, Physics, Electrical/Systems Engineering, Statistics, Machine Learning, or equivalent experience
3+ years of relevant experience applying ML to complex, sensor-rich, or data-intensive problems (research, industrial, or scientific environments preferred)
Research-oriented mindset with proven experience applying strong ML and statistical fundamentals to challenging data-intensive problems
Proficiency in PyTorch or equivalent for scientific modeling, going well beyond basic tabular models; experience with vision models preferred
Hands-on expertise across the full ML lifecycle, including temporal validation, leakage prevention, class imbalance, and production monitoring
Strong communication skills and the ability to rapidly absorb manufacturing domain knowledge
Demonstrated research or publication record in ML for complex systems or sensor data strongly preferred
Experience with industrial or physical datasets in manufacturing, energy, or semiconductor environments preferred
Familiarity with optimization or physics-informed modeling preferred
Industrial manufacturing experience is a plus but not required

Technologies

PyTorch

Benefits

Medical plans with multiple options and zero payroll deduction
Family-building, fertility, adoption and surrogacy benefits
Dental (including orthodontic coverage) and vision plans with zero paycheck contribution options
Company paid HSA contribution when enrolled in the high-deductible medical plan with HSA
Healthcare and Dependent Care Flexible Spending Accounts (FSA)
401(k) with employer match, Employee Stock Purchase Plans, and other financial benefits
Company paid Basic Life and AD&D
Short-term and long-term disability insurance (90 day waiting period)
Employee Assistance Program
Sick and vacation time, flexible time for salaried positions, accrued hours for hourly positions, and paid holidays
Back-up childcare and parenting support resources
Voluntary benefits including critical illness, hospital indemnity, accident insurance, theft and legal services, and pet insurance
Weight loss and tobacco cessation programs
Tesla Babies program
Commuter benefits
Employee discounts and perks program

What to Expect

Tesla rethinks battery manufacturing from first principles and seeks engineers who combine strong technical fundamentals with a research mindset to translate theory and statistics into real factory impact.

You will be part of the Global Cell Manufacturing Analytics team at Giga Texas, supporting factories across North America and Europe. In this role you will apply advanced machine learning to high-volume sensor and time-series data to optimize yield, quality, and production efficiency.

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Manufacturing Data Jobs

Data Engineer

Financial Data Analyst (Manufacturing Exp. Req'd)

Manufacturing Product Data Analyst

Sr. Machine Learning Engineer, Cell Manufacturing

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