Senior Manufacturing Data Product Analyst

ApTask

Town of Easton (WI)

Hybrid

USD 76,000 - 80,000

Full time

14 days+
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Job summary

ApTask is seeking a Senior Business Data Analyst with manufacturing domain expertise for a hybrid role in Easton, PA. Contract position with a maximum rate of USD 55–58 per hour (W2). The candidate will lead discovery, define data requirements, and translate business needs into scalable data products.

The role emphasizes driving data-driven decisions, creating dashboards in Power BI, and collaborating with data architects and engineers to deliver value across manufacturing initiatives.

Qualifications

  • 7+ years of experience as a Business Analyst.
  • Analytics, data analysis and interpretation expertise.
  • Manufacturing/Automation domain experience.

Responsibilities

  • Organize and facilitate Design Thinking and Discovery workshops with business stakeholders.
  • Understand goals, technology landscape, product roadmap, and key stakeholders.
  • Document business requirements into functional and non-functional specs.
  • Create data visualizations using tools like Power BI.
  • Maintain a prioritized backlog on use cases with stakeholders.
  • Define acceptance criteria, CSFs, and ROI for each use case.
  • Identify opportunities for optimization across the project lifecycle.
  • Engage stakeholders through workshops, POCs, and proposals to deliver value.
  • Translate business needs into scalable data solutions with data teams.
  • Define data product ownership, governance, and catalog the use cases.

Skills

Business Analysis
Data Analytics
Manufacturing/Automation domain

Job description

ApTask is seeking a Senior Business Data Analyst with manufacturing domain expertise for a hybrid role in Easton, PA. Contract position with a maximum rate of USD 55–58 per hour (W2). The candidate will lead discovery, define data requirements, and translate business needs into scalable data products.

The role emphasizes driving data-driven decisions, creating dashboards in Power BI, and collaborating with data architects and engineers to deliver value across manufacturing initiatives.

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