Job Description
Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever.
The Data Analyst supports Global Procurement by enabling trusted, standardized, and AI‑ready procurement data that drives productivity, business value, and transformation outcomes. This role plays a hands‑on, execution‑focused part in operationalizing data governance, improving master data quality, and enabling consistent KPI and program reporting across GP.
The analyst connects day‑to‑day data governance and stewardship activities to measurable procurement outcomes, reducing manual effort, improving decision quality, and accelerating adoption of analytics, automation, and AI capabilities.
This is not an IT or Business Intelligence role. The analyst partners closely with GP business teams, Master Data, Analytics, AI, and IT functions to align with enterprise data standards, controls, and approved platforms.
GP KPIs, Metrics & Program Reporting
- Support GP KPI frameworks by ensuring metric definitions, data sources, and calculations are clearly defined, standardized, and auditable.
- Enable consistent, trusted program and transformation reporting by improving data reliability and transparency.
- Partner with GP program owners to align reporting needs with governed data sources and approved definitions.
Data Governance & Quality Operations
- Execute day-to-day procurement data governance activities, including stewardship support, data quality monitoring, issue intake, and remediation tracking.
- Support the procurement data stewardship operating model, including routines, escalation paths, and documentation.
- Define and maintain governance artifacts such as business glossaries, critical data elements, and business rules for key procurement datasets.
- Track and report data quality KPIs (e.g., completeness, accuracy, duplication, timeliness) and support root cause analysis with data and process owners.
Procurement Master Data Management
- Perform hands-on procurement master data cleanup and standardization activities (supplier, category, material, contract, and reference data).
- Coordinate with Master Data and process owners to resolve data quality issues at the source and prevent recurrence.
- Support continuous improvement of master data processes and controls.
AI Ready Procurement Data Enablement
- Contribute to procurement master data strategy required to enable AI, automation, and advanced analytics use cases.
- Partner with analytics and AI teams to translate use case requirements into actionable data governance and data quality improvements.
- Ensure procurement data is structured, labeled, and governed to be AI ready, with clear ownership, definitions, and quality thresholds.
Cross Functional Collaboration
- Act as a liaison between GP business teams, Analytics, AI, Master Data, and IT for data related topics.
- Support alignment between procurement specific needs and enterprise data governance standards.
Qualifications
- Bachelor’s degree in computer science, Information Systems, Data Analytics, or related field required.
- Advanced degree or certification in data management, analytics, or governance is a plus.
- Practical experience with cloud data platforms (e.g., Snowflake) is required.
Experience
- Min 3–4 years of experience in data quality, analytics, or reporting roles.
- Hands‑on experience with master data management and data quality operations, preferably in Procurement or Supply Chain domains.
- Basic knowledge of any Business Intelligence tools for Reporting such as Tableau/ Power BI is a plus
- Experience supporting KPI frameworks, metrics definition, and program reporting.
- Exposure to AI, advanced analytics, or data readiness initiatives is strongly preferred.
Skills & Attributes
- Strong analytical mindset with high attention to detail and data accuracy.
- Working knowledge of data governance concepts including stewardship, ownership, critical data elements, and quality metrics.
- Ability to translate business questions into clear data definitions and measurable metrics.
- Comfortable working cross‑functionally and influencing without direct authority.
- Clear communicator with the ability to document standards, definitions, and processes.
- Understanding how data quality and standardization enable automation, analytics, and AI outcomes.
What Success Looks Like
- Trusted and reliable procurement data and KPIs used for decision‑making and program reviews.
- Data quality issues are visible, prioritized, and systematically reduced over time.
- Procurement master data is standardized and governed, reducing manual effort and reporting friction.
- Data governance and master data improvements demonstrably increase GP productivity and accelerate AI and automation adoption.
