Job Description

The IE Data Engineer strengthens manufacturing performance by developing reliable data processes, analytics, dashboards, and digital solutions that improve visibility, decision-making, and operational execution.

Ultimately, this position helps the site move from data collection to true data utilization, enabling faster decisions, stronger standards, and more sustainable performance improvement.

What are we looking for?

Minimum:

• Bachelor’s degree in engineering or related industry

• Experience in manufacturing, operations, and or Lean/Continuous Improvement methodologies

• 0-2 years of manufacturing environment

• Experience with data analysis tools

• Strong analytical problem-solving skills, ability to work cross-functionally in a fast-paced environment, and highly comfortable engaging directly with operations teams on the production floor

• 10% domestic travel

Preferred:

• Six Sigma Green/Black Belt (preferred) or actively working towards it

• Knowledge of Excel, Power BI, ERP, and SQL or similar systems

What will be your key responsibilities?

• Analyze manufacturing processes to improve safety, efficiency, throughput, and operational stability

• Process, validate, clean, and structure manufacturing data to support accurate reporting and analysis

• Build and maintain dashboards, reports, and analytics tools for line performance, TRS / OEE, NQC, downtime, reliability, throughput, and operational losses

• Translate manufacturing data into clear insights, trends, and recommended actions for site teams and leadership

• Support local deployment, adoption, and continuous improvement of digital solutions, dashboards, and reporting tools

• Serve as a local data steward by supporting data quality, standard definitions, validation rules, and stakeholder alignment

• Partner with Operations, Technical, MSE, CI, and IE teams to identify data gaps, reporting needs, and improvement opportunities

• Support line performance improvement through data analysis, floor validation, and cross-functional problem solving

• Develop and maintain labor models, capacity planning tools, staffing analysis, and operational performance reporting

• Support continuous improvement activities related to waste reduction, bottleneck analysis, layout, material flow, and standard work

• Provide functional support to local and regional IE / MSE teams as needed

What can you expect from Mars?

• Work with diverse and talented Associates, all guided by The Five Principles

• Join a purpose driven company, where we’re striving to build the world we want tomorrow, today

• Best-in-class learning and development support from day one, including access to our in-house Mars University

• An industry competitive salary and benefits package, including company bonus

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