Note: The job is a remote job and is open to candidates in USA. FormFactor, Inc. provides test and measurement technologies across the semiconductor product life cycle. The Senior Transformation Analyst will support high-priority cross-functional transformation initiatives by developing business cases, financial and operational models, dashboards, executive decision packages, and benefit-validation reporting while partnering with Finance, business units, IT, data engineering, and other teams.
Responsibilities
- Translate complex business issues into clear analytical questions, hypotheses, data requirements, and decision criteria
- Own business cases for transformation initiatives, including baseline performance, investment requirements, expected benefits, risks, dependencies, sensitivities, and value-realization timing
- Build financial and operational models to evaluate revenue, margin, cost, cash, inventory, capacity, productivity, service, and other key drivers
- Perform diagnostic, scenario, sensitivity, and driver-based analysis to quantify tradeoffs and support management decisions
- Partner with Finance and functional leaders to validate assumptions, reconcile initiative economics, and refresh business cases as conditions change
- Extract, combine, cleanse, transform, and analyze data from financial, commercial, planning, manufacturing, operational, and other enterprise systems
- Use SQL, Python, scripting, advanced spreadsheet techniques, and similar tools to automate data preparation, perform analysis, and build repeatable models
- Develop trusted data models that support consistent financial and operational analysis, forecasting, and performance management
- Identify opportunities to apply predictive, diagnostic, optimization, AI, or automation approaches to transformation priorities
- Partner with IT and data engineering teams to define requirements for development activities and improve data access, infrastructure, data quality, integration, governance, and reporting automation
- Design and maintain tools, dashboards, workflows, etc., for business partners as well as for the transformation team covering scope, milestones, decisions, risks, dependencies, resources, adoption, and value realization
- Standardize metrics, hierarchies, master-data definitions, and calculation logic across transformation initiatives
- Use Power BI, Tableau, Oracle Analytics Cloud, Qlik, or similar tools to create intuitive, decision-oriented visualizations for executive audiences
- Own the analytical content of executive decision packages, including options, quantified impacts, risks, recommendations, decision owners, and required timing
- Maintain decision logs and supporting datasets to create traceability from management decision through implementation and outcome. Apply appropriate development methodologies to test and release items to production
- Define benefit baselines, KPIs, calculation methods, data sources, owners, and validation cadence at the start of each initiative
- Track forecast, implemented, realized, and Finance-validated value and investigate variances between expected and actual outcomes
- Ensure reported benefits are supportable, transparent, and not double-counted
- Work alongside business owners to embed new metrics, models, dashboards, and decision routines into recurring management processes
- Document data definitions, assumptions, procedures, and controls and transfer sustainable analytical ownership to the appropriate function
Skills
- Minimum of 5 years of related experience with a Bachelor's degree; or 3 years and a Master's degree; or a PhD without experience; or equivalent work
- Bachelor's degree in Finance, Business Analytics, Economics, Industrial Engineering, Operations Research, Data Analytics, Information Systems, Computer Science, or a related quantitative discipline
- 5+ years of experience in financial analytics, business analytics, transformation, FP&A, operations, consulting, business intelligence, or a related role
- Demonstrated experience developing business cases and complex financial or operational models
- Advanced Excel and hands-on experience with Power BI, Tableau, Oracle Analytics Cloud, Qlik, or a similar visualization platform
- Practical SQL capability and experience using Python, scripting, low-code automation, or similar tools for data preparation, modeling, analysis, or workflow automation
- Ability to reconcile large or inconsistent datasets and explain analytical methods, assumptions, and conclusions to technical and nontechnical stakeholders
- Strong executive communication, organization, ownership, and cross-functional collaboration skills
- Experience with ERP, EPM, CRM, planning, manufacturing, data warehouse, or enterprise performance-management systems
- Experience building capacity, demand, supply, pricing, cost, gross-margin, working-capital, or productivity models
- Experience with APIs, Power Query, Power Automate, notebooks, Git, forecasting, statistical analysis, optimization, machine learning, or generative AI applications
- Semiconductor, semiconductor equipment, electronics, capital equipment, high-mix manufacturing, supply chain, or operations experience
- Advanced degree or relevant professional certification
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