Production Data Analyst Co-op: KPI & Analytics

Johnson & Johnson MedTech; Danvers (MA); On-site; USD 32,000 - 72,000; Full time

Job summary

Johnson & Johnson is seeking a Production Data Analyst Co-op to join our Manufacturing team in Danvers, MA. This role focuses on building KPI reports and analytics to improve overtime, productivity, yields, and planning.

Ideal candidates are engineering students with exposure to visualization tools and SAP/Microsoft Office, capable of clear communication, and eligible to work in the United States without sponsorship.

Qualifications

• Junior, Senior or Graduate student pursuing a degree in engineering.
• Prior work experience desired. Medical device experience preferred.
• Familiarity with visualization tools(e.g.,Tableau, Looker, Qlik, MSPower BI) preferred.
• Ability to Communicate ideas and information clearly, effectively, and frequently (oral and written)
• Must be proficient in Microsoft Office Suite. Working knowledge of SAP preferred.
• Applicants must be authorized to work for any employer in the US. We will not be able toprovideany sponsorship now or in the future.

Responsibilities

• Develop and provide KPI reports on metrics such as overtime, productivity, yields, utilization, etc. to inform better decision making and proactively alert the business to opportunities and risks within the organization’s production and supply chain.
• Develop business analytics that enable identification, prioritization, and justification of improvement programs that optimize production planning.
• Leverages data analytics tools and create dashboards that support our daily management tiered system.

Skills

Communication skills

Analytical thinking

Education

Engineering student

Tools

Tableau

Looker

Qlik

MS Power BI

Microsoft Office

SAP

Job description

Johnson & Johnson is seeking a Production Data Analyst Co-op to join our Manufacturing team in Danvers, MA. This role focuses on building KPI reports and analytics to improve overtime, productivity, yields, and planning.

Ideal candidates are engineering students with exposure to visualization tools and SAP/Microsoft Office, capable of clear communication, and eligible to work in the United States without sponsorship.