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Engineer III (Operations Intelligence & Analytics) - Pella, IA

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Hybrid

Engineer III (Operations Intelligence & Analytics) - Pella, IA

Pella

Engineer III (Operations Intelligence & Analytics) - Pella, IA

Skills

SQL QueriesData EngineeringTableauPythonData AnalysisOracleProcess ImprovementPower BI

2 months ago

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Important information


Contract type:

Permanent

Location:

Pella, IA 50219, USA

Work mode:

Hybrid

Published on:

8 September 2026

What they need


Summary:

We are seeking a highly skilled Operations Intelligence & Analytics Engineer to join our dynamic Intelligent Operations Team and revolutionize the way we manufacture windows and doors. In this role, you will be instrumental in empowering data-driven decision-making by transforming raw data into actionable insights through compelling visualizations and robust analysis. You will work closely with stakeholders to understand their needs, collaborate with data engineers to build required data pipelines and utilize your expertise in agile methodologies to deliver impactful solutions.

Benefits:

  • Competitive salary and benefits package.
  • Opportunity to play a key role in driving data-driven decision-making and operational excellence.
  • Collaborative and supportive work environment.
  • Exposure to cutting-edge data analysis tools and technologies.
  • Potential for career growth and advancement within a growing Intelligent Operations team.

Responsibilities:

  • Dashboard Development: Design and develop interactive, user-friendly dashboards using tools like Microsoft Power BI or Tableau to provide real-time visibility into key performance indicators (KPIs), production metrics, and operational efficiency.
  • Data Storytelling: Craft compelling narratives that translate complex data analysis into clear and actionable insights for stakeholders at all levels of the organization.
  • Data Exploration and Analysis: Conduct in-depth analysis of manufacturing data, identifying trends, patterns, and anomalies to uncover opportunities for optimization and process improvement.
  • Collaboration with Data Engineering: Partner with data engineers to define data requirements, ensure data quality and integrity, and build data pipelines that support analytics and reporting needs.
  • Stakeholder Engagement: Build strong relationships with business stakeholders, understand their priorities, and proactively identify and address their data and reporting needs.
  • Agile Collaboration: Thrive in an agile team environment, actively participating in sprints, backlog grooming, and daily standups to deliver value iteratively and respond to changing business needs.
  • Technical Expertise: Leverage your knowledge of Python, SQL, and other relevant tools to extract, transform, and analyze data from various sources, including Oracle EBS, PLCs, and MES.
  • Innovation: Stay abreast of the latest trends and best practices in data analysis and visualization, proactively suggesting and implementing improvements to our data-driven processes.

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