Senior Data Analyst, Contracting & AI Enablement (Hybrid)

Johnson & Johnson Co.

Raritan (NJ)

Hybrid

USD 79,000 - 128,000

Full time

4 days ago
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Benefits offered by this job

Hybrid work arrangement

Job summary

Johnson & Johnson in Raritan, NJ is seeking a Senior Data Analyst, Contracting Solutions, to advance data-driven decision making across contracting, pricing, and revenue management. You will leverage Model N data models and enterprise data architectures to deliver trusted insights and scalable dashboards.

The role emphasizes data governance, automation, and collaboration with business and tech teams. A Bachelor’s degree and 5+ years of experience are required; hybrid work with 3 days on site and

Qualifications

  • 5+ years of data analytics, BI, or related commercial functions.
  • Strong understanding of data structures for contracting, pricing, and government data.
  • Experience with Model N data models, integrations, and enterprise data architecture.
  • Advanced SQL and data analysis skills; experience with Power BI or Tableau.

Responsibilities

  • Analyze contracting data to deliver insights, dashboards, KPIs, and reporting.
  • Support data governance, data quality, and data lineage efforts.
  • Identify opportunities for automation, AI, and self-service analytics.
  • Collaborate with cross-functional teams to document requirements and validate solutions.

Skills

Data analytics
SQL
Power BI
Tableau
Stakeholder management
Analytical thinking

Education

Bachelor’s degree or equivalent

Tools

Model N
Snowflake
Databricks
Azure Data Platform
SAP
Power Automate
Appian

Job description

Johnson & Johnson in Raritan, NJ is seeking a Senior Data Analyst, Contracting Solutions, to advance data-driven decision making across contracting, pricing, and revenue management. You will leverage Model N data models and enterprise data architectures to deliver trusted insights and scalable dashboards.

The role emphasizes data governance, automation, and collaboration with business and tech teams. A Bachelor’s degree and 5+ years of experience are required; hybrid work with 3 days on site and

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