Data Analyst, Service & Repair — Healthcare Ops Insights

jj; Danvers (MA); On-site; USD 54,000 - 87,000; Full time

Benefits offered by this job

Vacation time

Sick time

Floating holidays

401k plan

Job summary

Johnson & Johnson is seeking a Data Analyst for Service & Repair in Danvers, MA. You will collect, analyze, and interpret operational, financial, and customer data to improve service performance, repair efficiency, and outcomes.

Join a cross-functional team with Service Operations, Project Management, Supply Chain and Finance to identify trends, generate insights, and support data-driven decisions. Requires 2–5+ years in data analytics, strong Excel, SQL, Python skills, and experience with BI

Qualifications

• Bachelor’s degree in Data Analytics, Business Analytics, Statistics, Mathematics, Finance, Information Systems, Operations Management, or related field.
• 2-5+ years of experience in data analysis, business intelligence, or operational analytics.
• Advanced proficiency in Microsoft Excel, including Pivot Tables, Power Query, and data visualization.

Responsibilities

• Analyze service and repair operational data to identify trends, opportunities, and performance gaps.
• Develop and maintain dashboards, scorecards, and reports using business intelligence tools.
• Monitor KPIs including turnaround time, productivity, first-time fix rate, backlog, customer satisfaction, and equipment uptime.
• Analyze technician performance, labor utilization, and resource allocation to improve operational efficiency.
• Support forecasting and capacity planning by evaluating service demand trends and workload distribution.

Skills

Data analytics

Excel

SQL

Python

Education

Bachelor’s degree in Data Analytics

Tools

Salesforce

Power BI

Tableau

SQL

Job description

Johnson & Johnson is seeking a Data Analyst for Service & Repair in Danvers, MA. You will collect, analyze, and interpret operational, financial, and customer data to improve service performance, repair efficiency, and outcomes.

Join a cross-functional team with Service Operations, Project Management, Supply Chain and Finance to identify trends, generate insights, and support data-driven decisions. Requires 2–5+ years in data analytics, strong Excel, SQL, Python skills, and experience with BI