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Weekend Manufacturing Data Analyst Jobs in Texas

campus4tech

Data Analyst/Developer

Grand Prairie, TX · On-site

Title: Data Analyst/Developer Location: Grand Prairie, TX Job Mode: This role is on-site 5 days ... Candidate will be working directly on the manufacturing floor, partnering with Operational ...

Weir

Data Analyst

Fort Worth, TX

Minimum 5 years of experience in business analysis, data analytics, or related disciplines, ideally with exposure to Supply Chain or Manufacturing environments. * Strong business-facing skills with ...

Weir Group

Data Analyst

Fort Worth, TX · On-site

Minimum 5 years of experience in business analysis, data analytics, or related disciplines, ideally with exposure to Supply Chain or Manufacturing environments. * Strong business-facing skills with ...

The Weir Group PLC

Data Analyst

Fort Worth, TX · On-site

Minimum 5 years of experience in business analysis, data analytics, or related disciplines, ideally with exposure to Supply Chain or Manufacturing environments. * Strong business-facing skills with ...

Delco Trailers

DATA ANALYST

Paris, TX · On-site

Drive revenue and build dealer relationships for one of the fastest-growing trailer manufacturers ... Reporting, analysis, payroll, and cost management - our Accounting team keeps Delco operationally ...

1 point system

Data Product Owner

Plano, TX · On-site

Description Position Overview The Manufacturing Data Lead (Domain Product Owner) serves as the primary on-site data and analytics leader at the manufacturing plant. This role acts as the bridge ...

McDaniel Metals LLC

Quality Data Analyst

Houston, TX · On-site

$20 - $25/hr

... manufacturing teams to ensure accurate data collection, process consistency, and continuous ... Analyze trends and identify recurring issues or systemic risks * Prepare weekly and monthly quality ...

Nashville Public Radio

Senior Data Analyst

Plano, TX · On-site

$111 - $185.25/hr

Gather and analyze data pertaining to various business processes such as forecasts, capital requirements, inventory, logistic, manufacturing and production capacity to develop supply chain models ...

PepsiCo

Senior Data Analyst

Plano, TX · On-site

$110K - $185K/yr

Gather and analyze data pertaining to various business processes such as forecasts, capital requirements, inventory, logistic, manufacturing and production capacity to develop supply chain models ...

PepsiCo Deutschland GmbH

Senior Data Analyst

Plano, TX · On-site

$110.70 - $185.25/hr

Gather and analyze data pertaining to various business processes such as forecasts, capital requirements, inventory, logistic, manufacturing and production capacity to develop supply chain models ...

PepsiCo

Senior Data Analyst

Plano, TX · On-site

$110K - $185K/yr

Gather and analyze data pertaining to various business processes such as forecasts, capital requirements, inventory, logistic, manufacturing and production capacity to develop supply chain models ...

PepsiCo

Senior Data Analyst

Plano, TX · On-site

$110K - $185K/yr

Gather and analyze data pertaining to various business processes such as forecasts, capital requirements, inventory, logistic, manufacturing and production capacity to develop supply chain models ...

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All JobsManufacturing Data Analyst JobsWeekend Manufacturing Data Analyst JobsWeekend Manufacturing Data Analyst Jobs in Texas

Weekend Manufacturing Data Analyst information

What does a weekend manufacturing data analyst do?

A Weekend Manufacturing Data Analyst is responsible for collecting, analyzing, and interpreting data related to manufacturing processes, typically during weekend shifts. They work to identify trends, inefficiencies, and opportunities for improvement in production operations. Their insights help manufacturing teams make informed decisions, optimize workflows, and enhance product quality. These analysts often use specialized software and reporting tools to generate actionable reports for management and engineering teams.

What are the key skills and qualifications needed to thrive as a weekend manufacturing data analyst?

To thrive as a Weekend Manufacturing Data Analyst, you need strong analytical skills, proficiency in data interpretation, and a relevant degree such as in engineering, mathematics, or data science. Familiarity with manufacturing data systems, SQL databases, and data visualization tools like Power BI or Tableau is typically required. Attention to detail, problem-solving abilities, and effective communication are important soft skills for this role. These skills and qualities are crucial for identifying trends, supporting process improvements, and delivering accurate insights that drive manufacturing efficiency during weekend operations.

What are some unique challenges that weekend manufacturing data analysts face compared to weekday analysts?

Weekend Manufacturing Data Analysts often encounter challenges such as working with reduced on-site staff and limited immediate support from other departments, which requires a higher degree of independence and problem-solving. Additionally, production schedules or priorities might differ over the weekend, resulting in unique data trends and urgent analysis requests. However, this role provides a valuable opportunity to take ownership of data-driven decision-making during critical off-peak operations, and successful analysts can often leverage this experience for advancement into broader analytical or supervisory positions.

What is the difference between Weekend Manufacturing Data Analyst vs Weekend Quality Control Analyst?

AspectWeekend Manufacturing Data AnalystWeekend Quality Control Analyst
Required CredentialsTypically requires a degree in data analysis, manufacturing, or related fieldRequires a background in quality assurance, manufacturing, or related certifications
Work EnvironmentData-focused, working with manufacturing systems and databases during weekendsInspection and testing in manufacturing settings during weekends
Industry UsageCommonly employed in manufacturing plants to analyze production dataUsed to ensure product quality and compliance in manufacturing facilities

The Weekend Manufacturing Data Analyst and Weekend Quality Control Analyst roles both operate in manufacturing environments during weekends. While the Data Analyst focuses on analyzing production data to optimize processes, the Quality Control Analyst concentrates on inspecting products to maintain quality standards. Both roles require industry-specific knowledge and are essential for manufacturing operations, but they differ in their core responsibilities and skill sets.

What are the most commonly searched types of Manufacturing Data Analyst jobs in Texas?

The most popular types of Manufacturing Data Analyst jobs in Texas are:

What are popular job titles related to Weekend Manufacturing Data Analyst jobs in Texas?

For Weekend Manufacturing Data Analyst jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Weekend Manufacturing Data Analyst jobs in Texas look for?

The top searched job categories for Weekend Manufacturing Data Analyst jobs in Texas are:

What cities in Texas are hiring for Weekend Manufacturing Data Analyst jobs?

Cities in Texas with the most Weekend Manufacturing Data Analyst job openings:

Weekend Manufacturing Data Analyst jobs near you

Senior Manufacturing Methods Analyst - HOLT Manufacturing

HOLT Group

Waco, TX • On-site

Full-time

Re-posted 25 days ago

Job description

Senior Manufacturing Methods Analyst - HOLT Manufacturing
Department: Machine Division (MAC)
Employment Type: Full Time
Location: Waco Mfg and Rebuild
Description
The Senior Manufacturing Methods Analyst is an advanced, organization-wide role responsible for leading Methods of Manufacturing (MoM) strategy, overseeing complex programs, and driving continuous improvement across the enterprise. This position serves as a technical and strategic authority on manufacturing methods, labor standards, and process design, while mentoring analysts and partnering with leadership to improve efficiency, scalability, and operational performance.
The incumbent in this position is expected to model the following practices on a daily basis: 1) Demonstrate alignment with the company's mission and core business values; 2) Collaborate with key internal/external resources; 3) Participate in ongoing self-development.
Essential Functions
  • Models, promotes, reinforces, and rewards the consistent use of HOLT's Values Based Leadership (VBL) tools, models, and processes to ensure alignment with our Vision, Values, and Mission
  • Leads enterprise MoM strategy, ensuring consistency, scalability, and alignment with business objectives
  • Defines and enforces standards for routings, labor standards, work centers, and manufacturing data structures
  • Establishes governance and best practices for MoM development, maintenance, and change management
  • Owns MoM execution for complex and high impact NPI programs
  • Partners with Engineering, Operations, Quality, and Supply Chain during design and launch phases to ensure manufacturability and production readiness
  • Ensures stable, accurate MoMs and labor standards through pilot builds and production ramp up
  • Drives standardization of manufacturing methods across products, product families, and sites
  • Leads initiatives to improve labor standards accuracy, capacity modeling, and scheduling performance
  • Translates continuous improvement initiatives into updated MoMs and system data
  • Identifies systemic inefficiencies and leads cross functional improvements tied to methods and data accuracy
  • Mentors and develops Methods Analysts (I & II), providing technical guidance and coaching
  • Serve as a subject matter expert for manufacturing methods, labor standards, and ERP execution
  • Influences cross-functional teams without direct authority through expertise and data-driven insights
  • Partners with Operations and senior leadership to identify, prioritize, and execute efficiency and cost reduction initiatives
  • Supports strategic decisions related to capacity planning, make/buy analysis, and operational scalability
  • Provides clear analysis and recommendations using manufacturing data and performance metricss
  • Works safely at all time and adheres to all applicable safety policies; complies with all company policies, procedures, and standards
  • Performs other duties as assigned

Knowledge, Skills, and Abilities
  • Expert knowledge of Methods of Manufacturing (MoM), including routings, labor standards, work centers, and manufacturing master data
  • Deep understanding of discrete manufacturing processes, production flow, and capacity constraints
  • Advanced knowledge of ERP systems and manufacturing execution data (Epicor or equivalent), including impacts to scheduling, costing, and planning
  • Strong understanding of New Product Introduction (NPI) lifecycle and manufacturing readiness requirements
  • Working knowledge of industrial engineering principles, work measurement, and labor standard development
  • Knowledge of continuous improvement, standardization, and process governance concepts
  • Strong analytical skills to evaluate labor performance, identify inefficiencies, and drive data backed improvements
  • Effective mentorship and coaching skills for developing Methods Analysts and technical team members
  • Ability to manage complex workloads, competing priorities, and high impact programs simultaneously
  • Ability to lead through change and enforce standardization while maintaining strong cross-functional relationships
  • Ability to maintain high standards of data integrity, discipline, and operational accuracy at the enterprise level
  • Clear and effective communication skills, both verbal and written; ability to effectively communicate with team members, suppliers, and management
  • Excellent organization and time management skills with the ability to work independently and as part of a team

Requirements
Education and Experience:
  • Preferred bachelor's degree in industrial or manufacturing engineering, Operations management, Systems Engineering, Business or Engineering Technology (Manufacturing focus)
  • 7+ years of experience in manufacturing methods, industrial engineering, or manufacturing systems
  • Deep expertise in ERP systems and manufacturing master data (Epicor preferred)
  • Proven experience leading complex programs and cross functional initiatives
  • Strong understanding of labor standards, process design, and production flow
  • Demonstrated leadership, mentoring, and influence capabilities

Supervisory Responsibilities:
  • This position mentors Method Analyst staff and provides input to leadership regarding interviewing, hiring, and training employees; coaching and development; appraising performance; rewarding and disciplining employees; addressing complaints and resolving problems.

Travel:
  • Up to 25% travel to supplier locations or between facilities may be required
  • Valid driver's license required

Physical Requirements:
  • Reasonable accommodations may be made to enable individuals with disabilities to perform job duties and responsibilities
  • This position involves extended periods in a stationary position; additionally, occasional movement inside the office to access office machinery, file cabinets, etc.
  • This role frequently communicates with others, must be able to exchange accurate information in a professional manner
  • This role routinely uses standard office equipment such as computers, phones, photocopiers, filing cabinets and fax machines.
  • Occasionally moves materials or equipment weighing up to 10 lbs.

Work Environment:
  • This job is generally performed in a professional office environment, in environmentally controlled conditions
  • Frequently works at fast pace with unscheduled interruptions

Disclaimer:
Please note that the above statements are intended to describe the general nature and level of work being performed by employees assigned to this classification. They are not to be interpreted as an exhaustive list of all responsibilities, duties, and skills required of the incumbents so classified. All incumbents may be required to perform duties outside of their normal responsibilities, as needed.

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