Data Excellence Lead
New
Fully remote or hybrid flexibility within India (Pune or Bangalore locations available)Full-TimeLead
Salary not disclosed
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Job Details
- Experience
- 4–7 years
- Required Skills
- Data AnalysisSAPAnalytical SkillsStakeholder management
Requirements
- 4–7 years of experience in data analysis, data management, business analytics, or data enablement roles
- Bachelor’s degree in Supply Chain, Engineering, Information Systems, Data Analytics, or related field
- Strong analytical and problem-solving skills
- Experience working in cross-functional, matrixed, and global enterprise environments
- Knowledge of ERP or planning systems such as SAP or similar platforms
- Experience supporting data activities in transformation programs (ERP, analytics, or planning systems)
- Strong communication skills with stakeholder engagement experience
- Understanding of data governance, data quality, and data lifecycle management principles
- Exposure to supply chain or regulated environments is highly valuable
- Ability to document, structure, and communicate data processes
Responsibilities
- Execute data quality checks, validations, and reconciliations to ensure accuracy, completeness, and consistency across key data domains
- Support data governance frameworks by implementing standards, definitions, and business rules aligned with global policies
- Identify, track, and support resolution of data issues, ensuring visibility and timely closure with stakeholders
- Collaborate with business teams to translate data needs into structured requirements and validation criteria
- Prepare and maintain trusted datasets to support reporting, analytics, and operational decision-making
- Document data definitions, workflows, assumptions, and data lineage to ensure transparency and reusability
- Support ERP and analytics transformation programs through data readiness checks, migration support, testing, and validation
- Coordinate with IT, analytics teams, and external partners to align technical solutions with business data requirements
- Identify recurring data issues and contribute to continuous improvement of data processes and standards
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