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Position: Senior Data Analyst - Financial Analytics |
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Job Id: 6120 |
# of Openings: 1 |
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Senior Data Analyst - Financial Analytics
FormFactor, Inc
Beaverton, OR
We live in a mobile driven world where technology is constantly improving. Semiconductor manufacturers need a partner as they pioneer and drive the most advanced integrated circuits (ICs) ever made. FormFactor is the world's leading supplier of probe cards used to test the ICs that power the majority of smart phones and tablets on the planet, as well as electronic systems used in computing, consumer, automotive and other applications. We are a big company with a small time feel. Working at FormFactor gives you the opportunity to work with cutting edge technology, have a direct influence on next generation products hitting the market and drive the overall growth and development of the semiconductor industry.
We are a fast-paced, growing company where each employee contributes to our culture of integrity, innovation, and teamwork. We are looking for enthusiastic, talented individuals who can thrive in a changing and challenging environment.
Position Summary
We are seeking a highly skilled and motivated Senior Data Analyst to play a pivotal role in building and implementing a robust financial analytics function within Finance. This role will leverage best practices in data modeling, visualization, and analytics to deliver actionable insights that inform strategic decision-making across the enterprise.
The ideal candidate will combine strong technical expertise with business acumen, working closely with Finance leadership, business units, and cross-functional teams to elevate the company's financial analytics capabilities. This individual will have hands-on experience with key data analytics approaches and competencies, including but not limited to experience with Power BI, Tableau, Oracle Analytics Cloud, Qlik (or similar), Python, SQL and similar.
Key Responsibilities
Financial Analytics Development
- Partner with Finance leadership to design, implement, and scale a financial analytics framework that enhances forecasting and business performance.
- Build advanced data models to evaluate financial and operational performance, enabling deeper insight into revenue, margins, and key drivers.
- Translate complex financial data into clear, actionable insights that support executives, BU leaders, and operational teams.
- Identify opportunities to embed predictive and diagnostic analytics into financial decision-making.
Data Visualization & Reporting
- Develop and maintain dashboards and reporting tools that provide timely, accurate, and relevant information to stakeholders.
- Standardize financial reporting metrics, hierarchies and master data definitions, ensuring consistency across business units and corporate functions.
- Leverage visualization tools (e.g., Power BI, Tableau, Oracle Analytics, or similar) to create intuitive, data-driven storytelling for executive audiences.
Collaboration & Business Partnership
- Work closely with business unit finance teams, Global Sales, and Corporate FP&A to ensure alignment on financial data and insights.
- Partner with IT and data engineering teams to improve data infrastructure, data quality, and governance for financial analytics.
- Support the adoption of data-driven decision-making across Finance by coaching and mentoring colleagues in analytics best practices.
Continuous Improvement & Best Practices
- Evaluate and introduce leading practices in financial analytics, modeling, and visualization.
- Recommend enhancements to forecasting and planning processes using analytics-driven approaches.
- Drive automation and efficiency in data preparation and reporting workflows.
Qualifications
- Bachelor's degree in Finance, Data Analytics, Statistics, Computer Science, or related field required; advanced degree preferred.
- 5+ years of experience in data analytics, with a strong focus on financial or business analytics.
- Proven ability to apply data modeling, forecasting, and visualization techniques to solve complex business problems.
- Hands-on experience with business intelligence and analytics tools (Power BI, Tableau, Oracle Analytics, or similar).
- Strong SQL and data manipulation skills; experience with Python or R a plus.
- Solid understanding of financial concepts (P&L, margins, forecasting, planning).
- Excellent communication and data storytelling skills with the ability to translate technical findings into business insights.
- Demonstrated success working in a global, fast-paced environment, balancing multiple priorities.
The pay range for this role in Beaverton, OR is between $109,300 and $143,745. The pay range may differ in other locations. FormFactor maintains broad salary ranges for its roles in order to account for variations in education, training, skills, relevant work experience, business needs and market demands. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity. Benefits offered for this role include medical, dental, vision, EAP, short-term and long-term disability, life insurance, flexible spending and savings accounts, 401(k), ESPP and paid time off.
FormFactor is committed to providing a work environment where everyone is treated with dignity and respect. We are an Equal Employment Opportunity (EEO) employer and are committed to compliance with all Federal, State, and local laws that prohibit employment discrimination on the basis of age, race, color, sex (including breastfeeding and related conditions), gender (including gender identity and gender expression), national origin, ancestry, sexual orientation, religion, physical or mental disability, marital status, registered domestic partner status, medical condition, military or veteran status, genetic characteristics or information, or any other legally protected characteristic. These protections extend to all employment and management decisions including, but not limited to, recruiting, hiring, training, promotions, pay practices, benefits, disciplinary actions and terminations, and all other terms and conditions of employment.
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