Business Intelligence Analyst

Group/Division

What You'll Do

In this role, you will play a key part in advancing business priorities by delivering high-impact work across your area of expertise.

The Business Intelligence Analyst builds and maintains the data foundation behind the spares supply chain organization's analytics, from data pipelines and models to the trusted metrics and data products teams rely on for insights and decision making. Working directly with planning, procurement, and technical stakeholders, the role turns complex, disparate data into analytics and data driven solutions that improve customer experience and lower inventory cost. The ideal candidate is a curious, analytical early career professional who enjoys the complexity and nuance of real world data, likes building data products, is comfortable with ambiguity, and communicates effectively with cross-functional stakeholders in a fast-paced environment.

• Define business metrics and build the analytics and data driven tools that help teams understand what is driving results and where to focus.
• Build and maintain new dashboards end to end, including ETL data pipelines, semantic models, measures, and visualizations.
• Maintain and improve existing dashboards and data products, from bug fixes to new enhancements.
• Test changes thoroughly and validate data quality so reporting is accurate, consistent, and reliable.
• Document data models, measures, business definitions, and the end-to-end flow from source data to visuals, and create work instructions that support maintainability and self-service.
• Dig into the data behind the metrics to explain what is driving results and turn findings into actionable recommendations.
• Partner with planning, procurement, and technical teams to understand the business context of a problem before shaping the right solution.
• Communicate findings and recommendations clearly to both technical and non-technical audiences.

• Degree in Supply Chain Management, Business Analytics, Industrial Engineering, Operations Management, Information Systems or a related field.
• Hands-on experience developing analytics, reporting, or data products through professional work, internships, academic projects, or research.
• Experience with BI or data visualization software such as Power BI or Tableau (Power Query and DAX a plus)
• Proficiency writing SQL to query and transform data.
• Understanding of data modeling and ETL concepts, such as star schemas, joins, and data transformation.
• Experience working with large, complex, or disparate data sources and turning imperfect data into analytics and insights.
• Working understanding of basic probability and statistics.
• Strong written and verbal communication skills, including explaining data, methodology, and findings to non-technical audiences.
• Coursework, internship, project, or professional experience in supply chain, operations, or manufacturing.
• Experience with a cloud data platform such as Snowflake, Databricks, or similar is a plus.
• Familiarity with Git or GitHub for version control is a plus.
• Familiarity with LLM-assisted analytics development, such as Claude Code or Codex, is a plus.

Minimum Qualifications

• Master's Level Degree and 0 years related work experience; Bachelor's Level Degree and related work experience of 2 years

Total Rewards

KLA’s total rewards package for employees may also include participation in performance incentive programs and eligibility for additional benefits including but not limited to: medical, dental, vision, life, and other voluntary benefits, 401(K) including company matching, employee stock purchase program (ESPP), student debt assistance, tuition reimbursement program, development and career growth opportunities and programs, financial planning benefits, wellness benefits including an employee assistance program (EAP), paid time off and paid company holidays, and family care and bonding leave.

Interns are eligible for some of the benefits listed. Our pay ranges are determined by role, level, and location. The range displayed reflects the pay for this position in the primary location identified in this posting. Actual pay depends on several factors, including state minimum pay wage rates, location, job-related skills, experience, and relevant education level or training. We are committed to complying with all applicable federal and state minimum wage requirements where applicable. If applicable, your recruiter can share more about the specific pay range for your preferred location during the hiring process.

Use of AI Statement 

At KLA, our interviews seek to understand your individual skills, problem-solving approach and authentic thinking. To ensure a fair and consistent evaluation, the use of AI, recording tools or other technologies to generate, suggest or provide responses during interviews—whether virtual or in person—is not permitted unless explicitly approved in advance as part of a reasonable accommodation or invited by the interviewer. Use of these tools may interfere with our ability to evaluate your individual qualifications and affect your candidacy. KLA is committed to advancing innovation through responsible AI, and we value candidates who share this mindset.