Data Scientist – Financial Analytics

FormFactor Inc.•Livermore, CA

23h

About The Position

FormFactor, Inc. (NASDAQ: FORM), is a leading provider of essential test and measurement technologies along the full semiconductor product life cycle — from characterization, modeling, reliability, and design de-bug, to qualification and production test. Semiconductor companies rely upon FormFactor’s products and services to accelerate profitability by optimizing device performance and advancing yield knowledge. The company serves customers through its network of facilities in Asia, Europe, and North America. Rooted in our core values — Focus on the Customer, Ownership & Accountability, Respectfully & Effectively Communicate, and Motivate & Develop People — we foster an environment where diverse perspectives are not only welcomed but celebrated. Everyone can make an impact here. Whether it's improving products, supporting customers, or positively influencing peers and the community, the contributions of our people matter. Shift: The regular hours for this position are day shift. Job Description: We are seeking a motivated and detail‑oriented Data Analyst to support the development of a scalable financial analytics function within Finance. This role is ideal for someone early in their analytics career who is eager to build strong technical skills, learn financial data concepts, and contribute to data‑driven decision‑making across the company. The ideal candidate will bring curiosity, a willingness to learn, and foundational technical skills in data analytics. This individual will work closely with senior analysts, Finance leadership, and cross‑functional partners to support reporting, analysis, and visualization needs as our financial analytics capabilities continue to grow.

Requirements

Business Analytics
Data Analytics
Data Visualization
Microsoft Power Business Intelligence (BI)
Oracle Analytics Cloud
Python (Programming Language)
Structured Query Language (SQL)
Tableau (Software)
No previous professional experience | Required

Responsibilities

Financial Analytics Support Assist in building and maintaining financial and operational data models that support forecasting, planning, and performance evaluation.
Support senior team members in analyzing revenue, margins, operating metrics, and business drivers.
Help translate financial data into clear, structured analysis that supports Finance and business partner needs.
Contribute to initial efforts to incorporate predictive or diagnostic analytics into financial workflows.
Data Visualization & Reporting Develop and update dashboards and reports that deliver timely, accurate insights to Finance teams and business stakeholders.
Support efforts to standardize key financial metrics, definitions, and reporting terminology.
Use data visualization tools (e.g., Power BI, Tableau, Oracle Analytics Cloud, Qlik, or similar) to present data in a clear, intuitive way.
Collaboration & Business Partnership Work closely with Finance, Global Sales, and Corporate FP&A teams to ensure aligned, reliable financial data.
Coordinate with IT and data engineering teams to support data quality, data validation, and foundational data governance initiatives.
Assist with training or knowledge‑sharing as Finance increases the use of analytical tools and data-driven processes.
Continuous Improvement & Best Practices Identify opportunities to automate repetitive data processes and streamline data preparation.
Support enhancements to forecasting, reporting, and planning workflows by applying modern analytics techniques.
Stay current on emerging tools, visualization techniques, and analytics best practices.