Semiconductor Pricing Data Analyst – Remote

Remote Genie; Northern (KY); Hybrid; USD 80,000 - 85,000; Full time

Benefits offered by this job

Company-sponsored training and dev

Comprehensive benefits (health, dental

Vision, wellness, RRSP/401K Matching

Flexible vacation policy

Trusted device reimbursement

Inclusive environment

High-growth company

Salary range: $80,000 - $85,000 USD

Job summary

TechInsights is seeking a Data Analyst to turn complex market data into strategic insights on pricing trends for materials used in semiconductor device fabrication. You’ll work hands-on analyzing data from multiple sources to support a revenue-driving product while maintaining data quality, documentation, and pipeline optimization.

Strong Excel and analytical skills are essential in a fast-paced, cross-functional environment.

Qualifications

• Strong Excel skills and data extrapolation.
• Experience with data cleaning and preparation across tools.
• Familiarity with data modeling and data warehouses.
• Ability to communicate solutions clearly to team members and managers.

Responsibilities

• Analyze data to track pricing trends for materials in semiconductor device production.
• Develop data standards and extract, synthesize, and validate data from sources.
• Monitor data quality and ensure integrity across reports.
• Identify data discrepancies and implement remediation and prevention measures.
• Document data and analyses for knowledge transfer.
• Improve data hygiene and documentation across sources.
• Assist with designing, maintaining, and optimizing ETL pipelines.
• Explore new tools and best practices for the analytics team.
• Share findings and best practices with the team.

Skills

Excel proficiency

Data cleaning

Data analysis

Critical thinking

Tools

ETL tools

Data warehouses

Job description

TechInsights is seeking a Data Analyst to turn complex market data into strategic insights on pricing trends for materials used in semiconductor device fabrication. You’ll work hands-on analyzing data from multiple sources to support a revenue-driving product while maintaining data quality, documentation, and pipeline optimization.

Strong Excel and analytical skills are essential in a fast-paced, cross-functional environment.