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Construction Category Analyst
Job in
Syracuse, Onondaga County, New York, 13201, USA
Listed on 2026-06-01
Listing for:
Micron Technology, Inc.
Full Time
position Listed on 2026-06-01
Job specializations:
-
Engineering
Data Science Manager
Job Description & How to Apply Below
Our vision is to transform how the world uses information to enrich life for all.
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.
About our team:
We represent a global, cross-functional team including Procurement, Facilities & Construction, Facilities & Process Engineering, Project Controls/Contracts, Finance, Operations, and Business Analytics. Our mission is to boost capex predictability, fortify commercial rigor, and advance measurable cost performance across semiconductor fab construction, cleanroom, chemical building, and process-utility infrastructure. We facilitate fact-based decisions through refined analytics, supplier intelligence, and uniform commercial procedures.
The Staff Construction Category Analyst directs worldwide construction cost assessment, should-cost/clean-sheet modeling, risk evaluation, forecasting, and full lifecycle change-order oversight for large semiconductor capital programs. This position conducts competitive bid assessments, examines supplier proposals, and produces data-driven sourcing advice to improve capex reliability and realize measurable savings and cost avoidance. The role engages closely with cross-functional contacts to standardize tools, processes, and reporting that improve commercial coherence and support flawless delivery of our challenging goals.
Responsibilities include but are not limited to
Strategic Category & Commercial Analytics:
* Lead comprehensive bid analytics (RFP analysis, bid tabulation, scope normalization, bid leveling) for global construction and semiconductor infrastructure packages.
* Support sourcing across Cost Plus, GMP, Lump Sum, Unit-Rate/SOV, and T&M arrangements, including assessment of fees/markups, blocking issues, contingency, LD/bonus mechanisms, bonding/insurance, payment terms, and schedule impacts.
Cost Modeling, Benchmarking & Risk:
* Develop and maintain should-cost and clean-sheet models for fab, cleanroom, chemical building, and process-utility scopes including labor, materials, equipment, indirects, overhead/fee, contingency, and blocking issues.
* Build/update benchmarking baselines to compare cost competitiveness across regions and project types.
Cost Analytics, Reporting & Insights:
* Analyze cost drivers and variances; identify risks, opportunities, and market trends for mega-capital programs.
* Prepare reports, dashboards, risk heatmaps, and scenario analyses with Excel, Power BI, Tableau, SQL, Snowflake, Python (or similar).
Performance Tracking, Data Integrity & Governance:
* Track cost performance against budgets, risk allowances, and commercial assumptions across work streams and projects.
* Maintain accuracy and integrity of cost, benchmarking, bid, change-order, and supplier datasets for reporting and analytics.
Executive Communication &
Cross-Functional Collaboration:
* Work alongside Procurement, Engineering, Construction, Finance, Operations, and Project Controls to foster continuous progress and negotiation readiness by applying should-cost models and supplier intelligence.
Minimum Qualifications:
* Master's degree or equivalent experience in Supply Chain, Construction Management, Civil/Mechanical Engineering, or related field.
* 10+ years in cost management/controls, cost modeling, sophisticated analytics, and commercial bid analytics within global construction capital projects (e.g., cleanroom, hospital, pharma, or high-tech manufacturing).
* Proven expertise in bid assessment (bid tabs, scope normalization, bid leveling) and delivery approaches (Cost Plus, GMP, Lump Sum, Unit-Rate/SOV, T&M).
* Proven change-order management experience, including rate validation, markup verification, exposure forecasting, and schedule/cost impact assessments.
* Practical experience with analytics platforms (e.g., Tableau, Power BI, SQL, Snowflake, Python) and ERP/project management systems (e.g., SAP, Ariba, Procore).
Preferred Qualifications:
* Advanced risk modeling experience (e.g., probabilistic/Monte Carlo, scenario modeling) applied to capex and construction…
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