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Lead Analyst, Data Advisor

Job in Raritan, Somerset County, New Jersey, 08869, USA
Listing for: Johnson & Johnson
Full Time position
Listed on 2026-07-25
Job specializations:
  • IT/Tech
    Data Analyst, Data Engineering, Data Warehousing, Data Science Manager
Job Description & How to Apply Below
At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and Med Tech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn

more at

As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit.

Job Function:

Data Analytics & Computational Sciences

Job Sub Function:

Data Governance & Policy

Job Category:

Professional

All Job Posting Locations:

New Brunswick, New Jersey, United States of America, Raritan, New Jersey, United States of America

Job Description:

Johnson & Johnson Services Inc. is recruiting for a Lead Analyst, Data Advisor. This position will be primarily based in New Brunswick, NJ or Raritan, NJ

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and Med Tech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity.

Learn more at

Job Description

The Lead Analyst, Data Advisor plays a pivotal role within the Med Tech Supply Chain Digital and Data Strategy team, supporting global analytics and data consumption for the Med Tech Supply Chain Digital Brain platform.

This role serves as a trusted partner to business customers, helping them understand available data assets, where to access them, and how to use them effectively. This role bridges business needs with enterprise data platforms, guiding users through data discovery, interpretation, and application while promoting data literacy, governance, and self-service analytics.

They will partner with other key roles on the data team such as Data Architecture, Data Governance, and Data Delivery to ensure timely delivery of data products in support of key initiatives across the Med Tech landscape.

Key Responsibilities

* Act as a main point of contact for business users seeking data for analytics, reporting, or operational decisions

* Guide customers on what data exists, where it resides, and how to access it across enterprise platforms

* Translate business questions into data solutions and recommend appropriate datasets or data products

* Educate users on data definitions, appropriate usage, and limitations

* Support users in navigating data catalogs and semantic layers

* Promote adoption of the Digital Brain and associated data standards

* Guide users toward certified, governed data sources vs. shadow or siloed data

* Work closely with data engineering, data quality, and platform teams to stay aligned on available data assets

* Feed recurring business needs into data product development and prioritization

* Support intake processes by helping shape business requests into structured data requirements

Qualifications

Education:

Minimum Bachelor's degree and/or equivalent University degree required; focused degree in business, information systems, data analytics, or related field preferred. Advanced degree preferred.

Required

* Minimum four (4) years of relevant professional work experience

* Demonstrated ability in data analytics, data management, or business-facing data roles

* Solid understanding of how data is structured, stored, and accessed across systems

* Experience with SQL and/or querying tools to validate and explore data

* Experience supporting business users in analytics or reporting environments

* Knowledge of Supply Chain Management and associated data.

Preferred

* Experience with data…
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