Data Systems Engineer

[Independent Software]

Location: Springdale, Arkansas – fully on site

Duration: Direct Hire/Full-time (sponsorship not available)

Contact: Karen Linfante: [e-mail]

This position is accountable for the development of data analytic strategies and systems capable of increasing the efficiency and problem-solving capabilities.

Responsibilities:

• Organize, construct, and deploy systems capable of analyzing and displaying large amounts of data in formats that meet the organizational requirements.
• Lead technical projects with diverse teams while staying on-time and within budget.
• Communicate processes and findings effectively at all levels of the organization.
• 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
• Databases
• Reporting Tools
• Statistical Analytical Software
• Perform “what if” analysis and communicate recommendations to both operational and IT leaders.
• Collaborate with other Engineers and IT resources to maximize use of 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 multiple 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

• Bachelor’s Degree in Engineering, Data Science or related field required.
• Minimum of 2 years of experience with data systems processes and improvement strategies
• At least 1 year experience in one or more of the following: Matlab, Statistics and Machine Learning, Neural Networks, R, Capstone DataPARC, modeFrontier, Azure, Power BI, Crystal Reports, SQL, SQL Report building Software, .Net or equivalents.
• At least 1 year Microsoft Office experience especially with Teams, Excel and PowerPoint
• Experience in various data systems and the ability to tailor and present data analytics methods and findings to leadership to drive effective decision making.
• Experience with SMART Manufacturing or Industry 4.0.