Senior Transformation Analyst, Data & Value

This is a fully remote position, open to applicants in Texas.

📋 Description

• Convert intricate business challenges into analytical queries, hypotheses, data requirements, and decision criteria.

• Take ownership of business cases for transformation projects, encompassing performance baselines, investments, benefits, risks, dependencies, sensitivities, and the timing of value realization.

• Construct financial and operational models addressing revenue, margin, cost, cash flow, inventory, capacity, productivity, and service drivers.

• Conduct diagnostic, scenario, sensitivity, and driver-based analyses.

• Extract, cleanse, transform, combine, and analyze enterprise data effectively.

• Automate data preparation and analysis utilizing SQL, Python, scripting, and advanced spreadsheet techniques.

• Create reliable data models for forecasting and performance management.

• Collaborate with IT and data engineering teams on data access, quality, integration, governance, and reporting automation.

• Design and maintain portfolio dashboards, workflows, milestone views, risk registers, and decision logs.

• Develop executive visualizations using tools such as Power BI, Tableau, Oracle Analytics Cloud, Qlik, or similar platforms.

• Prepare executive decision packages that include quantified impacts, risks, recommendations, owners, and timelines.

• Establish benefit baselines, KPIs, calculation methods, data sources, ownership, and validation schedules.

• Monitor forecasted, implemented, realized, and Finance-validated value, while investigating variances.

• Integrate metrics, models, dashboards, and decision-making processes into regular management routines.

• Document analytical definitions, procedures, assumptions, and controls, ensuring sustainable ownership is transferred.

⛳️ Requirements

• Bachelor's degree in Finance, Business Analytics, Economics, Industrial Engineering, Operations Research, Data Analytics, Information Systems, Computer Science, or a comparable quantitative field.

• A minimum of 5 years of relevant experience with a Bachelor's degree; or 3 years with a Master's degree; or a PhD without prior experience; or equivalent work experience.

• Proven track record in developing business cases and intricate financial or operational models.

• Advanced proficiency in Excel and hands-on experience with visualization platforms such as Power BI, Tableau, Oracle Analytics Cloud, Qlik, or similar.

• Practical knowledge of SQL.

• Experience utilizing Python, scripting, low-code automation, or comparable tools.

• Ability to reconcile large or inconsistent datasets and articulate analytical methods, assumptions, and conclusions to both technical and non-technical stakeholders.

• Familiarity with ERP, EPM, CRM, planning, manufacturing, data warehouse, or enterprise performance management systems.

• Experience in constructing capacity, demand, supply, pricing, cost, gross margin, working capital, or productivity models.

• Proficient with APIs, Power Query, Power Automate, notebooks, Git, forecasting, statistical analysis, optimization, machine learning, or generative AI applications.

• Background in semiconductor, semiconductor equipment, electronics, capital equipment, high-mix manufacturing, supply chain, or operations.

• Advanced degree or relevant professional certification.

🏝️ Benefits

• Equal opportunity employment protections.

• Day-shift regular hours.

• Remote work arrangement available for eligible locations.