Production Data Analyst Co-op (Manufacturing)

Johnson & Johnson

Danvers (MA)

On-site

USD 44,000 - 73,000

Full time

6 days ago
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Job summary

Johnson & Johnson is currently seeking a Production Data Analyst Co-op to join our Manufacturing team located in Danvers, Massachusetts. You will develop KPI reports on overtime, productivity, yields, utilization, and other metrics to inform decision-making and proactively highlight opportunities and risks within the production and supply chain.

As a student pursuing an engineering degree, you will build analytics that enable identification, prioritization, and justification of improvement

Qualifications

  • Pursuing a degree in engineering (Junior/Senior/Graduate).
  • Prior work experience desired; medical device experience preferred.
  • Familiarity with visualization tools Tableau, Looker, Qlik, MS Power BI preferred.
  • Ability to communicate ideas clearly, both oral and written.
  • Proficient in Microsoft Office; SAP working knowledge preferred.
  • Authorized to work in the U.S. without sponsorship now or in the future.

Responsibilities

  • Develop and provide KPI reports on metrics such as overtime, productivity, yields, utilization to inform decisions and alert opportunities and risks.
  • Develop analytics to identify, prioritize, and justify improvement programs that optimize production planning.
  • Create dashboards and leverage data analytics tools to support the daily management tiered system.

Skills

Communication skills
MS Office proficiency
SAP familiarity

Education

Engineering degree (pursuing)

Tools

Tableau
Looker
Qlik
MS Power BI

Job description

Johnson & Johnson is currently seeking a Production Data Analyst Co-op to join our Manufacturing team located in Danvers, Massachusetts. You will develop KPI reports on overtime, productivity, yields, utilization, and other metrics to inform decision-making and proactively highlight opportunities and risks within the production and supply chain.

As a student pursuing an engineering degree, you will build analytics that enable identification, prioritization, and justification of improvement

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