Analyst Engineer

Basic Qualifications

• Bachelor’s Degree in Engineering is required
• Ability to demonstrate basic SQL querying skills
• 5+ years experience in a manufacturing environment, with functional knowledge across multiple departments and domains (transactions, finance, process, product) is required
• Demonstrated ability to transform data with a programming language
• Demonstrated project management skills
• Experience with an engineering data tool: SAS, Minitab, JMP, Advanced MS Excel
• Familiarity with Six Sigma methodology or intermediate statistics
• Microsoft Office skills (Word, Excel, Power Point, Visio)
• Strong written and verbal communication skills
• Demonstrated ability to work effectively in both self-directed and collaborative matrixed team environments

• This position may require travel up to 25%

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.

This position entails access to export controlled items and employment offers are conditioned upon an applicants ability to lawfully obtain access to such items.

Preferred Qualifications

• Demonstrated ability using python for data transformation, analysis, and visualization 
• Intermediate-to-Advanced SQL querying knowledge (window functions, pivots, etc.)
• Azure Data Lake and Databricks experience
• Power BI report development experience
• Familiarity with AVEVA PI Asset Framework
• Familiarity with Git revision control
• An unquenchable desire to continuously learn

As an Analyst Engineer at the Howmet Research Center, you will join a team of other Analyst Engineers and Data Scientists.  This team is part of a multidisciplinary R&D group responsible for advancing the state-of-the-art in aerospace manufacturing at our casting, alloy, core and rings manufacturing facilities. You are a great fit for this team if you have the innate curiosity necessary to learn new processes, meet new people, and are persistently detail-oriented with a quality mindset. If you enjoy matching complex physical processes to corresponding data across multiple data sources, and transforming data into reliable, documented datasets for use in machine learning, reporting, and visualization tools, we would love to talk with you!  Engineering data super-users looking to transition to a data field are welcome.

As an Analyst Engineer, a typical project requires you to:

• Initiate working with manufacturing plant personnel to understand the detailed manufacturing process and data collection user interfaces
• Initiate working with corporate and local IT to understand the data storage and sources that correlate to plant processes, and the most efficient way to query them 
• Query multiple data sources and join the data together to accurately represent the process
• Explore the data to identify edge cases, data cleaning requirements, and bias – using statistics as necessary
• Down-select, augment, and clean the dataset
• Iterate the above steps to generate a representative and reliable dataset, checking your own work and being able to explain it to others at multiple levels of the organization
• Collaborate with Data Scientists to understand model input requirements
• Transform the data to meet machine learning model input requirements
• Provide post-modeling functions to translate model results to process-relatable values
• Actively participate in leveling up proof-of-concept code to productionized scripts
• Document projects in Power Point and reusable code, storing work in a revision-controlled system