Senior Transformation Analyst, Data & Value (Business Analytics)

Location: Remote, Texas, United States. This remote-eligible role cannot be performed from Alabama, Alaska, Arkansas, Delaware, Georgia, Hawaii, Illinois, Iowa, Kentucky, Louisiana, Maine, Maryland, Mississippi, Missouri, Nebraska, Nevada, New Jersey, New Mexico, North Dakota, Oklahoma, Pennsylvania, Rhode Island, South Carolina, South Dakota, Tennessee, West Virginia, Wisconsin, or Wyoming. Regular hours are day shift.

Company

hirify.global provides semiconductor test and measurement technologies and services across the semiconductor product life cycle.

What you will do

• Translate complex transformation challenges into analytical questions, data requirements, hypotheses, and decision criteria.
• Build business cases and financial and operational models covering investment, benefits, revenue, margin, costs, cash, inventory, capacity, productivity, and service.
• Extract, cleanse, transform, and analyze enterprise data using SQL, Python, scripting, spreadsheets, and automation tools.
• Develop trusted data models, dashboards, workflows, and visualizations using Power BI, Tableau, Oracle Analytics Cloud, Qlik, or similar platforms.
• Prepare executive decision packages, portfolio reporting, milestone views, risk registers, and decision logs.
• Define benefit baselines and KPIs, validate realized value with Finance, investigate variances, and transfer sustainable analytical ownership to business functions.

Requirements

• Bachelor’s degree in Finance, Business Analytics, Economics, Industrial Engineering, Operations Research, Data Analytics, Information Systems, Computer Science, or a related quantitative field.
• At least 5 years of experience in financial analytics, business analytics, transformation, FP&A, operations, consulting, business intelligence, or a related role.
• Experience developing business cases and complex financial or operational models.
• Advanced Excel skills, practical SQL experience, and hands-on experience with Python, scripting, low-code automation, or similar tools.
• Ability to reconcile large or inconsistent datasets and communicate analytical methods, assumptions, and conclusions to technical and nontechnical stakeholders.
• Experience with ERP, EPM, CRM, planning, manufacturing, data warehouse, or enterprise performance-management systems.

Nice to have

• Experience with APIs, Power Query, Power Automate, notebooks, Git, forecasting, statistical analysis, optimization, machine learning, or generative AI applications.
• Experience in semiconductors, semiconductor equipment, electronics, capital equipment, high-mix manufacturing, supply chain, or operations.
• Advanced degree or relevant professional certification.

Culture & Benefits

• Full-time direct employment with a focus on customer impact, ownership, accountability, respectful communication, and people development.
• Cross-functional collaboration with Finance leadership, business units, IT, data engineering, and operational teams.
• Remote-eligible work arrangement with regular day-shift hours.
• Equal employment opportunity across legally protected characteristics.