Senior Analyst, Data Excellence

Johnson & Johnson

Senior Analyst ensuring data excellence across supply chain processes at Johnson & Johnson. Collaborating with business, digital, and analytics teams for reliable data governance and quality.

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

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Hard Skills

data quality reviewsdata validationdata reconciliationdata governancedata analysisdata readiness checksdefect analysisdata documentationdata migrationdata transformation

Soft Skills

analytical skillscommunication skillscollaborationproblem-solvingstakeholder engagement

Tools & Technologies

ERP systemsSAPanalytics platforms

Industry Keywords

data accuracydata completenessbusiness rulescross-functional teamsregulated environments

Tech Stack

Tools & technologies

ERP

About the role

Key responsibilities & impact

Execute data quality reviews, validations, and reconciliations to ensure data accuracy and completeness across defined data domains.
Support execution of data governance standards, definitions, and business rules in alignment with global policies and operating models.
Track, analyze, and support resolution of data issues, ensuring transparency and timely closure.
Partner with business stakeholders to understand data needs and translate them into clear data requirements and validation criteria.
Support preparation of trusted data sets for reporting, analytics, and operational decision‑making.
Maintain documentation of data definitions, assumptions, and data flows to enable long‑term sustainment and reuse.
Support data activities for enterprise transformation initiatives, including design, testing, migration, cutover, and stabilization phases.
Perform data readiness checks, scenario validations, and defect analysis to ensure smooth program execution.
Coordinate with IT, analytics teams, and system integrators to ensure alignment between business data requirements and technical solutions.
Identify recurring data issues, root causes, and improvement opportunities.

Requirements

What you’ll need

Bachelor’s degree in Supply Chain, Data Analytics, Information Systems, Engineering, or a related field.
7 + years of related experience
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