MANUFACTURING DATA ANALYST - Plant 10

Howmet Aerospace, is a leading global provider of advanced engineered solutions for the aerospace and transportation industries. The Company’s primary businesses focus on jet engine components, aerospace fastening systems and titanium structural parts necessary for mission-critical performance and efficiency in aerospace and defense applications, as well as forged wheels for commercial transportation. Howmet Aerospace is transforming the next phase of more fuel-efficient, quieter aerospace engines and sustainable ground transportation. For more information, visit www.howmet.com. Follow @howmet: Twitter, Instagram, Facebook, LinkedIn and YouTube. 

This Manufacturing Data Analyst will be located in the Plant 10, Whitehall Casting Operation.

Job Responsibilities

• 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.

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.

Basic Qualifications:

• Bachelor’s Degree from an accredited institution.
• Hands on experience manipulating and applying advanced statistical analysis methods to real-world data.
• 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

• Bachelor’s degree in data science, Statistics or Mathematics fr