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Johnson & Johnson

Senior Analyst, Data Excellence

Johnson & Johnson

Senior Analyst supporting data excellence agenda by ensuring accurate and trusted business data for supply chain processes at Johnson & Johnson. Collaborating with teams on data governance and quality initiatives.

Posted 5/29/2026full-timeRaritan • New Jersey • 🇺🇸 United StatesSenior💰 $94,000 - $151,800 per yearWebsite

Tech Stack

Tools & technologies
ERP

About the role

Key responsibilities & impact
  • Supports Surgery’s data excellence agenda by ensuring business data is accurate, trusted, standardized, and fit‑for‑purpose across supply chain and operational processes.
  • Works closely with business, digital, and analytics teams to support data governance, data quality, and data readiness activities that enable reliable reporting, analytics, and decision‑making.
  • Executes data validation, issue resolution, documentation, and process standardization activities supporting enterprise initiatives and transformation programs (e.g., ERP, analytics, and planning platforms).
  • Acts as a bridge between business process owners, data governance, and technical teams to ensure data outcomes align with business requirements.
  • Executes data quality reviews, validations, and reconciliations to ensure data accuracy and completeness.
  • Partners with business stakeholders to understand data needs and translate them into clear data requirements and validation criteria.
  • Coordinates with IT, analytics teams, and system integrators to ensure alignment between business data requirements and technical solutions.

Requirements

What you’ll need
  • Bachelor’s degree in Supply Chain, Data Analytics, Information Systems, Engineering, or a related field.
  • 7+ years of experience in data analysis, data management, business analytics, or data enablement within a complex enterprise environment.
  • Strong analytical skills with the ability to interpret data issues and translate them into actionable insights.
  • Experience working across cross‑functional, matrixed teams.
  • Clear written and verbal communication skills.
  • Experience supporting ERP, planning, or analytics platforms (e.g., SAP or similar ecosystems).
  • Exposure to regulated or quality‑driven environments.
  • Experience supporting data activities within large transformation programs.

Benefits

Comp & perks
  • Vacation –120 hours per calendar year
  • Sick time - 40 hours per calendar year; for employees who reside in the State of Colorado –48 hours per calendar year; for employees who reside in the State of Washington –56 hours per calendar year
  • Holiday pay, including Floating Holidays –13 days per calendar year
  • Work, Personal and Family Time - up to 40 hours per calendar year
  • Parental Leave – 480 hours within one year of the birth/adoption/foster care of a child
  • Bereavement Leave – 240 hours for an immediate family member: 40 hours for an extended family member per calendar year
  • Caregiver Leave – 80 hours in a 52-week rolling period
  • Volunteer Leave – 32 hours per calendar year
  • Military Spouse Time-Off – 80 hours per calendar year

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
data analysisdata managementbusiness analyticsdata validationdata qualitydata governancedata readinessprocess standardizationdata reconciliationdata interpretation
Soft Skills
analytical skillscommunication skillscollaborationproblem-solvingcross-functional teamwork