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Weekend Manufacturing Data Analyst Jobs in Michigan

Role: Data Analyst Location: Warren, MI (Hybrid) Duration: Long term Rate: Market Key ... Experience in a large corporate or manufacturing environment is a plus

Job Title: Supplier Consultant - Automotive Data Analyst Location: Dearborn, MI 48126 (hybrid ... Prior exposure to Ford's product development or manufacturing processes is advantageous.

Senior Data Analyst

Lansing, MI

$78K - $98K/yr

... manufacturing, or laboratory environments * Experience preparing data requirements for ERP implementations * Familiarity with MasterControl reporting structures * Experience with Python for analysis ...

With a mindset to evolve, innovate, and grow, we are a premier manufacturer of the highest-quality ... POSITION SUMMARY The Data Analyst will develop and manage reporting solutions that support multiple ...

Assoc Engr II

Ada, MI · On-site

$88K - $97K/yr

Hands-on experience working with manufacturing or operational data * Working knowledge of analytics tools such as Big Query, SQL, Power BI, Tableau, or similar (ability to guide, review, and ...

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Weekend Manufacturing Data Analyst information

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 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 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, and why are they important?

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 the most commonly searched types of Manufacturing Data Analyst jobs in Michigan? The most popular types of Manufacturing Data Analyst jobs in Michigan are:
What are popular job titles related to Weekend Manufacturing Data Analyst jobs in Michigan? For Weekend Manufacturing Data Analyst jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Weekend Manufacturing Data Analyst jobs in Michigan look for? The top searched job categories for Weekend Manufacturing Data Analyst jobs in Michigan are:
What cities in Michigan are hiring for Weekend Manufacturing Data Analyst jobs? Cities in Michigan with the most Weekend Manufacturing Data Analyst job openings:
Manufacturing Data Analyst - Core Plant

Manufacturing Data Analyst - Core Plant

Howmet Aerospace

Whitehall, MI

Full-time

Posted 12 days ago


Howmet Aerospace rating

7.7

Company rating: 7.7 out of 10

Based on 158 frontline employees who took The Breakroom Quiz

45th of 61 rated aerospace companies


Job description

This Manufacturing Data Analyst will be located in the Core Plant. 

Job Roles

  • Data-informed consultant--listens well to understand processes and critical performance aspects, then provides data-informed insights and recommendations; maintains focus as an internal partner versus outside observer; balances predictive insights with problem solving and allocates time (both to projects and globally) accordingly
  • Strategy support--understands plant, campus, segment and enterprise strategy and prioritizes efforts accordingly; quantifies prospective interventions using common metrics; uses analytics to improve stakeholders’ ability to identify and achieve toward established hoshin
  • Forecast oriented--comprehends how both project and system-oriented decisions and interventions scale into the future; analyzes trends, anticipates business needs based on partner input and prioritizes focal points accordingly
  • Persuasion and influence--is objectively persuasive based on data, and interpersonally persuasive based on the ability to create trust and emphasize common goals; overcomes skepticism and invites hypothesis testing; understands the culture and how to accomplish things within it, yet has the courage to challenge existing methods
  • System creation--standardizes data use to create structure and systems of information and access; makes recommendations that, over time, alter existing systems or create new systems
  • Measurement implementation--collaborates with stakeholders to create measurement for interventions; tracks effectiveness as a guiding standard; learns information and outcomes that might initially be unfamiliar or outside incumbent expertise; maximizes and proves returns on investment at local and global levels
  • Builder/creator--has an entrepreneurial spirit to build a position/department/practice that grows and provides increasing benefits over time; enjoys the challenge of creating possibilities and proving concepts; believes in the prospective benefits and wants to scale them
  • Translator and storyteller--acts as liaison between information and application; synthesizes information and conveys it in the best form for stakeholder understanding and use; creates narratives from numbers, creating clear and engaging ideal state scenarios toward which the enterprise can strive 
  • Complexity comfort--manages the tension between what we know and what we don’t know, between what we can implement now and what we must implement later; understands the breadth and depth of available information, yet introduces it to others in discerned measures, always toward practical and aspirational outcomes; transitions between global and local focus with ease
  • Interpersonally adept--builds and maintains relationships at varying levels throughout the organization; inspires trust and connection based on objectivity, expertise and curiosity

Job Responsibilities

This role serves as the plant’s primary resource for the following operational systems and functions:

  1. Serve as the plant’s Power BI owner; build, maintain, and continuously improve dashboards tracking production rate, yield, downtime, scrap, and quality

  2. Serve as the site’s subject matter expert and primary user for OHCMS (One Howmet Casting Manufacturing System), Howmet’s internal manufacturing execution and lot traceability system, act as backup to the Lot Trace Administrator and maintain lot integrity across production operations

  3. Support inventory management functions including data pulls, reconciliation support, and reporting tied to production and supply chain accuracy

  4. Pull, clean, and consolidate production data from MES systems including OHCMS, establish and maintain data standards and governance protocols for site-level data

  5. Perform cost modeling in support of manufacturing engineering and operations decisions

  6. Translate raw operational data into actionable insights for frontline supervisors and plant leadership (this role bridges the floor and the boardroom, not just the boardroom)

  7. Analyze and disseminate data to relevant audiences

  8. Make recommendations based on synthesis and interpretation of data

  9. Align recommendations to business outcomes

  10. Serve as link between information and application functions

  11. Create and monitor standardized systems of gathering, understanding and sharing data

  12. Improve performance from job level to enterprise adoption and adaptation


Basic Qualifications

  • Bachelor’s degree from an accredited institution

  • ​Employees must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire. Visa sponsorship is not available for this position.

Preferred Qualifications

  • Hands-on experience manipulating and applying advanced statistical analysis methods to real-world data
  • Bachelor’s degree in Data Science, Statistics, or Mathematics from an accredited institution

  • Prior experience with Howmet, Arconic, or comparable aerospace tier-one manufacturing systems strongly preferred

  • Minimum of 2 years of experience in manufacturing

  • Minimum of 2 years of experience with practical application of analytic statistical tools

  • In depth knowledge of statistical software packages

  • Proven success manipulating and applying advanced statistical analysis methods to real-world data

  • Self-starter, strong interpersonal skills and ability to function and drive to excel within a team environment

  • Strong written and oral communication skills, project planning ability, and ability to effectively use MS Office applications 

  • Candidates must demonstrate hands-on Power BI development experience, not familiarity alone

  • Demonstrated experience with MES or ERP-type shop floor systems (OHCMS, SAP, Oracle, or equivalent)

  • Ability to serve as a system backup and cross-train others on data platforms and lot traceability tools

  • Experience supporting inventory accuracy and production data reconciliation in a high-mix, low-volume manufacturing environment


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About Howmet Aerospace

Sourced by ZipRecruiter

Howmet Aerospace Inc. (NYSE: HWM), headquartered in Pittsburgh, Pennsylvania, is a leading global provider of advanced engineered solutions for the aerospace and transportation industries. The Company's sales for 2021 approximated $5 billion. The Company's primary businesses focus on jet engine components, aerospace fastening systems, titanium structural parts and forged wheels. With nearly 1,150 granted and pending patents, the Company's differentiated technologies promote more fuel efficiency for aircraft and commercial transportation. Howmet is proud to be an Equal Employment Opportunity and Affirmative Action employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Industry

Aviation

Company size

10,000+ Employees

Headquarters location

Pittsburgh, PA, US

Year founded

1888