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

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Hard Skills

data analysisdata managementbusiness analyticsdata validationdata qualitydata governancedata readinessprocess standardizationdata reconciliationdata interpretation

Soft Skills

analytical skillscommunication skillscollaborationproblem-solvingcross-functional teamwork

Tools & Technologies

ERPanalytics platformsplanning platformsSAP

Industry Keywords

data excellencesupply chainenterprise environmentregulated environmentsquality-driven environmentstransformation programs

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