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

 

This Manufacturing Data Analyst will be located in the Plant 5 Ti-Cast Operation. 

 

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) accordinglyStrategy 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 hoshinForecast 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 accordinglyPersuasion 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 methodsSystem creation--standardizes data use to create structure and systems of information and access; makes recommendations that, over time, alter existing systems or create new systemsMeasurement 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 levelsBuilder/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 themTranslator 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 easeInterpersonally 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:

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