Industrial Data Analytics Engineer

Company Culture Alignment

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.

• 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.
• Track effectiveness of process improvements, projects, corrective and preventative actions.
• Participate on various project teams and assist with value-added programs to drive continuous improvement.
• Create 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.
• Work with executives and business leaders to identify opportunities for improvement.
• Coordinate with Company Executives and other professionals to create unique data infrastructure, run tests on designs to isolate errors, and update systems to accommodate changes in company needs.
• Create reports and dashboards for internal teams.
• Develop and implement databases and data collection systems.
• Utilize various methods to visualize data such as infographics and graphs.
• Establish KPIs 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.
• Utilize SQL to create reports, pages and identify opportunities in business practices to support WMS and JDE ERP software packages.

• Minimum 4-year bachelor degree is preferred, plus 3 years work experience in a manufacturing environment.
• Industrial or Manufacturing Engineering degree with Data Analytics specialization preferred.
• 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.