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Nestlé S.A. is seeking a Digital Asset Management Analyst to support KPI implementation, tagging quality, and asset audits across markets. The role involves reporting on asset data and ensuring fair asset distribution according to market assignments.
You will collaborate with cross-functional teams to maintain data integrity and provide insights through asset dashboards and ad hoc reports. A Bachelor’s Degree and strong business English are required.
Location: Open slots for Meycauayan, Bulacan, PH
Full-time
Bachelor’s Degree
Joining Nestlé means you are joining the largest food and beverage company in the world. At our very core, we are a human environment – passionate people driven by the purpose of enhancing the quality of life and contributing to a healthier future.Our Team in Nestlé Business Services is in charge of delivering world class business support to our colleagues and clients in Nestlé globally. We are committed to deliver with passion, reliability, innovation, discipline and excellence. Are you ready to join us?
The Digital Asset Management (DAM) Analyst main responsbility is to facilitate the implementation and monitoring of DAM's KPI such as Timeliness, Accuracy and Completeness and ensure that Asset Audits are in place to safeguard the best-in-class quality of tagging in DAM and provide initiative ideas pertaining to Asset Audit process.They are also Subject Matter Experts in DAM.
The Analyst will also assist in the Basic Reporting needed by the markets such as but is not limited to: Asset Data Quality Reports, AOA Reports, Downloads Report, Asset Summary Report. They will do the Dispatching of assets as well ensuring that assets are given in an equal manner and based on the SPOC's market's assignments and expertise.
University Degree in Marketing, Digital Technologies or related fields
Experience and interest in Branding and Marketing Communications
Strong Business English communication skills (verbal and written).
Strong analytical, organizational skills
Excellent math abilities (statistical and logical) and working knowledge of data analysis/statistical methods