This Manufacturing Data Analyst will be located in the Core Plant.
Job Roles
Job Responsibilities
This role serves as the plant’s primary resource for the following operational systems and functions:
Serve as the plant’s Power BI owner; build, maintain, and continuously improve dashboards tracking production rate, yield, downtime, scrap, and quality
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
Support inventory management functions including data pulls, reconciliation support, and reporting tied to production and supply chain accuracy
Pull, clean, and consolidate production data from MES systems including OHCMS, establish and maintain data standards and governance protocols for site-level data
Perform cost modeling in support of manufacturing engineering and operations decisions
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)
Analyze and disseminate data to relevant audiences
Make recommendations based on synthesis and interpretation of data
Align recommendations to business outcomes
Serve as link between information and application functions
Create and monitor standardized systems of gathering, understanding and sharing data
Improve performance from job level to enterprise adoption and adaptation
Basic Qualifications
Bachelor’s degree from an accredited institution
Preferred Qualifications
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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