CoE Data Systems Engineer in Springdale, AR at Arconic

Date Posted: 10/31/2019

Job Snapshot

Job Description

  • Organize, construct, and deploy systems capable of analyzing and displaying large amounts of data in formats that meet the organizational requirements.
  • Engage the organization deeper into problem solving efforts utilizing performance metrics, cost components, quality data, design parameters, machine parameters, process characteristics, etc., using various tools including but not limited to:
    • Business Intelligence Suites
    • Power BI
    • Databases (SQL and OSI PI)
    • Reporting Tools
    • Statistical Analytical Software
  • Perform “what if” analysis and communicate recommendations to both operational and IT leaders. Collaborate with Process Engineers and IT resources to utilize hidden potential in the manufacturing systems.
  • Identify and correct data limitations (e.g. signal / noise ratio, sample size, inconsistencies, missing values, corruption, etc.).
  • Design and implement dashboards and key metric scorecards.
  • Determine potential causes of problems and devise data testing methodologies for validation.
  • Search and probe questions with peers and process experts that ultimately leads to action and recommendations.
  • Guide and direct small teams to achieve project objectives including the set up and execution of smart manufacturing deployment across BCS locations. 
  • Streamline and improve existing data analytics tools within the continuous improvement processes and systems.
  • Use data, best practices and Kaizen methodologies to increase process efficiency and reduce operational cost.


Qualifications

Basic Qualifications:
  • Bachelor of Science Degree in Engineering or Data Sciences from an accredited institution
  • Minimum of 5 years of professional experience
  • A deep understanding of SQL Query Language and Server Administration
  • Ability to enjoy data performing data analytics and discovering new data sources.
  • Ability to interpret employee interface tools requirements to enhance data based problem solving.
  • A deep understanding of time series analysis and regression analysis.
  • Strong analytical and problem-solving skills with the ability to develop and use structured approaches to identify root causes and recommend solutions.
  • Ability to lead technical activities to meet timing and budgetary targets.
  • Good verbal and written communication skills.
  • A working knowledge of manufacturing processes and improvement strategies.
  • Ability to enjoy problem solving and relationship building across facilities.
  • Ability to tell stories with data, educate effectively, and instill confidence in recommendations.
  • Project Management skills to copy and paste existing best practices across the network.
  • Must be legally authorized to work in the US without company sponsorship provided. Verification of employment eligibility will be required at the time of hire. Visa sponsorship is not available for this position. 
 
Preferred Qualifications:
  • Experience in various data systems and the ability to tailor and present data analytics methods and findings to leadership that drive effective decision making.
  • Experience in Matlab, Statistics and Machine Learning, Neural Networks, R, Capstone DataPARC, modeFrontier, Azure, Power BI, Crystal Reports, SQL, SQL Report building Software, .Net

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