Enterprise Data Analyst Enterprise Data Analyst

Nestle Operational Services Worldwide SA

About The Position

Nestlé is looking for a forward-thinking data strategist to drive enterprise-wide alignment and transformation through a robust master data strategy. This role designs and executes scalable governance frameworks to ensure data is FAIR (Findable, Accessible, Interoperable, Reusable), secure, and business-ready across key domains. It translates zone-level data governance into actionable programs that embed stewardship, uplift data literacy, and build a culture of trust and accountability. The role influences cross‑functional stakeholders while orchestrating metadata management aligned to enterprise architecture and digital transformation goals. Partnering with business units and external providers, it optimizes master data lifecycle management and integration with SAP and other enterprise systems to enable compliant, data‑driven decision-making at scale. This is a 6 month contract role.

Requirements

Proven experience in data governance, master data management, or enterprise data roles within a multinational environment.
Strong understanding of end‑to‑end business processes (O2C, S2P, R2R, H2R, I2L, P2E).
Technical proficiency in data governance tools, data quality management, metadata management, and data literacy development.
Ability to influence senior stakeholders and lead cross‑functional initiatives with clarity and credibility.
Strong understanding of system engineering fundamentals, information security, and architecture standards.
Excellent communication skills and the ability to drive change, uplift capability, and embed a culture of stewardship.
Experience partnering with shared services (e.g., NBS/IBS) to optimize data operations and resolve service challenges.

Responsibilities

Lead the deployment of the enterprise data governance operating model across Oceania, ensuring alignment with global standards and local business needs.
Build strong cross‑functional partnerships to identify high‑impact data opportunities and drive adoption of enterprise data solutions and domains.
Conduct capability assessments and onboard SMEs and data content owners to strengthen the data stewardship ecosystem.
Operationalize governance frameworks, including workflows, controls, data quality rules, profiling, lineage, and compliance mechanisms.
Drive continuous improvement in data maturity, quality, coverage, and automation by monitoring Group and Zone KPIs.
Lead and scale data literacy programs through a structured Community of Practice, uplifting data confidence across business teams.
Act as the regional expert for SAP Labelling, overseeing the super‑user network and ensuring seamless integration with enterprise systems.