Celestica

Product Data Analyst

Celestica

full-time

Posted on:

Location Type: Office

Location: Richardson • Texas • 🇺🇸 United States

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Job Level

JuniorMid-Level

Tech Stack

ERPSQLTableau

About the role

  • Develop and maintain analytical models to track First Pass Yield (FPY), defect rates, and process capability metrics.
  • Conduct Root Cause Analysis (RCA) using diagnostic analytics to pinpoint process or component failures in complex assemblies.
  • Design and build real-time dashboards (e.g., OEE, Downtime) to monitor the performance of key production equipment and manufacturing execution systems (MES).
  • Analyze manufacturing cycle times and resource utilization data to identify and eliminate bottlenecks and waste.
  • Analyze post-launch data, including field failures, warranty claims, and repair/return data, to provide critical feedback to the New Product Introduction (NPI) and Design teams.
  • Collaborate with engineering to track the performance of critical components and predict potential failure points.
  • Write efficient SQL queries to extract and integrate data from various manufacturing systems (MES, ERP, QMS).
  • Produce standardized and ad-hoc reports to inform executive decision-making on cost reduction, quality improvement, and capacity planning.

Requirements

  • 2 to 4 years of direct experience as a Data Analyst or Business Intelligence Analyst within a high-volume manufacturing, electronics, or industrial environment.
  • Expert-level proficiency in SQL for extracting and joining data from complex operational databases.
  • Proven experience with data visualization tools (e.g., Tableau, Power BI, Looker) to present manufacturing KPIs.
  • Experience working with MES (Manufacturing Execution System), ERP, or QMS data structures is highly desirable.
  • Strong foundational knowledge of statistics and statistical process control (SPC).
  • Demonstrated ability to conduct diagnostic and predictive analytics related to production processes and equipment performance.
  • Bachelor's degree in a quantitative field such as Industrial Engineering, Data Science, Electrical Engineering, or a related discipline.
  • Detail-oriented problem-solver with a passion for continuous process improvement and the ability to clearly communicate technical findings to production managers and engineers.
Benefits
  • Health insurance
  • 401(k) matching
  • Paid time off
  • Flexible work hours

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
SQLdata visualizationdiagnostic analyticspredictive analyticsstatistical process controldata analysisanalytical modelingreportingprocess capability metricsRoot Cause Analysis
Soft skills
detail-orientedproblem-solvingcommunicationcollaborationcontinuous process improvement