Industrial Data Analytics Engineer

Align with our company culture, mission, values, philosophy, and policies and procedures by exemplifying our C.L.E.A.R Principles.

• Curiosity- look for a better way as a solutions-oriented problem solver.

• Leadership- take ownership and be the catalyst of change.

• Enthusiasm- be motivated and passionate about your work.

• Accountability- deliver on commitments and act with integrity.

• Respect-be present, listen and engage with inclusive open, honest, and direct communication.

Responsibilities include:

• Identify, plan, implement and lead key projects to improve quality, reduce regulatory risks, increase productivity, and improve cycle time by reducing wasted time, rework, etc. resulting in significant business improvements.

• Tracks effectiveness of process improvements, projects, corrective and preventative actions

• Participates on various project teams and assists with value-added programs to drive continuous improvement.

• Creates reports of audit findings and potential process improvements with management

• Support data analytic activities including analyzing raw data and developing effective reporting tools including advanced MS Excel worksheets.

• Working with executives and business leaders to identify opportunities for improvement

• Coordinating with Company Executives and other professionals to create unique data infrastructure, running tests on their designs to isolate errors, and updating systems to accommodate changes in company needs

• Create reports and dashboards for internal teams.

• Develop and implement databases and data collection systems.

• Utilization of various methods to visualize data such as infographics and graphs.

• Establishing KPI’s to measure the effectiveness of business decisions.

• Structure large data sets to find usable information.

• Make recommendations on findings via presentations and discussions.

• Identify, analyze, and interpret trends or patterns in data sets.

• Utilization of SQL to create reports, pages and identify opportunities in business practices to support WMS and JDE ERP software packages.

Key resource in data gathering and discussions revolving around strategic automation projects and implementation strategies.

Do you have experience in Warehouse management system?, Do you have a Bachelor’s degree?, Education (High School, College, Other):

• Minimum 4 year bachelor degree is preferred, plus 3 years work experience in a manufacturing environment

• Specific Education Requirements:

• Industrial or Manufacturing Engineering degree with Data Analytics specialization preferred

• Specific Skills and/or Experience with Software, Equipment, etc.:

• Databases and Platforms: Db2 SQL, MS SQL Server, MySQL, MS Access

• Business Intelligence and Data Analytics: Power BI (end-to-end development), Tableau, Minitab, Advanced MS Excel (Power Query, Pivot Tables, Macros), Pentaho, Power Apps, Power Automate

• Programming and Scripting: VBA