Asset Data Analyst, Infrastructure Services

The Asset Data Analyst will be responsible for developing and leading asset management programs that establish or mature processes for managing enterprise-wide data through material lifecycles. The individual will develop, refine and coordinate projects and tasks necessary to maintain asset data integrity within our tools in coordination with other functional groups. The individual will be responsible for sustaining activities related to the asset lifecycle from acquisition through final disposition, including financial metadata and asset audits. The Asset Data Analyst will be responsible for metrics, key performance indicators, and reporting of all Data Center asset lifecycle and sustainment activities. Identify opportunities to implement AI/ML solutions across asset management workflows Develop and deploy predictive models for asset lifecycle optimization and EOL planning Leverage natural language processing and automation tools for enhanced reporting and documentation Utilize machine learning algorithms for anomaly detection in financial reconciliation processes Develop, refine, & implement processes and policies for verifying data integrity, cycle counting and auditing physical assets Manage and maintain metadata integrity within Apple’s asset database Perform comprehensive financial data reconciliation between SAP system and Apple’s asset database records Drive opportunities to improve data quality, data integrity and data governance practices across the organization Bachelor’s degree in Engineering, Finance, Supply Chain Management or similar or equivalent work experience 4+ years of experience in asset management, financial systems, or data center facilities operations Experience with SAP or other ERP financial systems Advanced Excel skills for large dataset handling, complex formulas, pivot tables etc Experience building dashboards with Tableau or a comparable BI tool Ability to work in a fast-paced, dynamic environment with changing priorities Strong analytical skills with proficiency in data reconciliation and reporting Experience with enterprise asset management systems and databases Experience working with large, complex datasets across multiple systems Experience leveraging AI/ML tools for process automation and predictive analytics Strong problem-solving skills and ability to work independently and drive results Experience with database management and data integrity processes Understanding of financial reconciliation and audit procedures Detail-oriented with strong ability to handle ambiguity and uncertainty Excellent communication and cross-functional collaboration skills

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