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Howmet Aerospace in Indiana is seeking a data-focused professional to own Power BI dashboards, monitor production metrics, and translate plant data into actionable insights for leadership.
You will partner with manufacturing, operations, and supply chain to drive data governance, standardization, cost modeling, and analytic tools across MES/ERP systems, enabling informed decisions.
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.
2 years' experience in a similar role.
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 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.
Howmet is proud to be an Equal Employment Opportunity employer. We are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or other applicable legally protected characteristics.