Data Excellence Lead

Johnson & Johnson Johnson & Johnson · Pharma · Pune, Maharashtra, India +1

The Senior Analyst, Data Excellence supports Surgery’s data excellence agenda by ensuring business data is accurate, trusted, standardized, and fit-for-purpose across supply chain and operational processes. This role 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.

What you'd actually do

  1. Execute data quality reviews, validations, and reconciliations to ensure data accuracy and completeness across defined data domains.
  2. Support execution of data governance standards, definitions, and business rules in alignment with global policies and operating models.
  3. Track, analyze, and support resolution of data issues, ensuring transparency and timely closure.
  4. Partner with business stakeholders to understand data needs and translate them into clear data requirements and validation criteria.
  5. Support preparation of trusted data sets for reporting, analytics, and operational decision-making.

Skills

Required

  • 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.

Nice to have

  • Bachelor’s degree in Supply Chain
  • Bachelor in Engineering

What the JD emphasized

  • accurate, trusted, standardized, and fit‑for‑purpose
  • enterprise initiatives and transformation programs
  • data validation
  • issue resolution
  • documentation
  • process standardization
  • data governance
  • data quality
  • data readiness
  • data accuracy
  • data completeness
  • data governance standards
  • data issues
  • data needs
  • data requirements
  • trusted data sets
  • data definitions
  • data flows
  • data activities
  • data readiness checks
  • data requirements
  • data management processes
  • data standards