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Senior Business Intelligence Analyst

Job in Milpitas, Santa Clara County, California, 95035, USA
Listing for: Onto Innovation
Full Time position
Listed on 2026-06-03
Job specializations:
  • IT/Tech
    Data Analyst, Data Engineer
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below

Onto Innovation is a leader in process control, combining global scale with an expanded portfolio of leading-edge technologies that include: 3D metrology spanning the chip from nanometer-scale transistors to micron-level die-interconnects; macro defect inspection of wafers and packages; metal interconnect composition; factory analytics; and lithography for advanced semiconductor packaging. Our breadth of offerings across the entire semiconductor value chain helps our customers solve their most difficult yield, device performance, quality, and reliability issues.

Onto Innovation strives to optimize customers’ critical path of progress by making them smarter, faster and more efficient.

Job Summary & Responsibilities

We are looking for a highly skilled Data Analyst with deep experience in data modeling
, Power BI
, Microsoft Fabric
, and Oracle ERP (R12 and/or Fusion) data structures. This role is critical for building enterprise‑grade analytics solutions, scalable data models, and integrated reporting frameworks that support strategic decision‑making across the organization.

Key Responsibilities
  • Design, develop, and maintain enterprise‑level data models to support analytics, reporting, and integration needs.
  • Build high‑quality dashboards, semantic models, and datasets using Microsoft Power BI
    .
  • Leverage Microsoft Fabric capabilities—including Lakehouse, Dataflows Gen2, Pipelines, Semantic Models, and Notebooks—to build scalable modern analytics solutions.
  • Develop DAX measures, Power Query transformations, and dataflows to create governed, reusable data assets.
  • Understand and interpret Oracle E‑Business Suite (R12) and Oracle Fusion Cloud ERP data structures, tables, and reporting layers.
  • Translate business processes from Finance, Supply Chain, and other functions into robust analytical data models.
  • Partner with cross‑functional stakeholders to define KPIs, metrics, and data logic.
  • Ensure high levels of data quality, integrity, and governance across Fabric and Power BI assets.
  • Optimize SQL queries, ETL logic, and BI models for performance and scalability.
  • Support ad‑hoc analytics and resolve data issues as they arise.
Qualifications
  • Bachelor’s degree in Computer Science, Information Systems, Data Analytics, or related field (or equivalent work experience).
  • 7–10+ years of experience in data analytics and data modeling.
  • Strong expertise in Microsoft Power BI (DAX, Power Query, semantic modeling, dashboard design).
  • Hands‑on experience working with Microsoft Fabric (Lakehouse, Data Engineering, Data Factory, One Lake).
  • Solid SQL skills and experience working with large, complex datasets.
  • Deep practical experience designing data models with Oracle ERP R12 and/or Oracle Fusion will be highly desirable skill.
  • Understanding data warehousing concepts, dimensional modeling, and star schema design.
  • Excellent communication skills with the ability to translate business needs into technical solutions.
Why Join Onto Innovation?

At Onto Innovation, we believe your work should matter—and so should your well‑being. That’s why we offer competitive salaries and a comprehensive benefits package designed to support you and your family. From health, dental, and vision coverage to life and disability insurance, PTO, and a 401(k) with employer match, we’ve got you covered. You’ll also enjoy access to our Employee Stock Purchase Program (ESPP), wellness initiatives, and cutting‑edge tools—all within a collaborative, inclusive culture where your contributions are valued and recognized.

Compensation

& Growth

Base Salary Range: $ - $, offered in good faith and based on experience, location, and qualifications.

  • Additional Rewards:
    Annual bonus opportunities and potential long‑term incentives tied to both company and individual success.
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Position Requirements
10+ Years work experience
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