Senior Market Analyst – Data-Driven Growth (Semiconductors)

Applied Materials; Santa Clara (CA); On-site; USD 106,000 - 146,000; Full time

Job summary

Applied Materials in Santa Clara, CA seeks a data-driven marketer to analyze market trends, size markets, and support product roadmaps with data-driven insights. The role requires translating analytical results into actionable business strategies and collaborating across teams.

With 3–5 years of analytics experience and proficiency in Python, SQL, and Excel, you will contribute to pricing, forecasting, and data visualization efforts while navigating a fast-paced tech environment.

Qualifications

• MS in Data Science, Business Analytics, Statistics, Applied Analytics, Market Analytics, or a related quantitative field (BS considered with relevant experience).
• 3-5 years of professional experience in data analytics or business‑facing roles.
• Proficient in Python, SQL and Excel for data analysis, transformation, and modeling.

Responsibilities

• Research product marketing trends and conduct complex benchmarking analysis of markets, competition and product mix.
• Own collection and use of market sizing and segmentation data in the BU strategy and marketing process.
• Contribute to diverse product roadmaps and perform pricing/margin analysis.
• Provide complex product forecasts and develop product financial plans including cost reductions and ROI goals.
• Assist field teams with direct marketing of key products to key accounts.
• Collect and analyze data for Red Team analysis and for annual and quarterly business reviews.
• Focus on growth by tracking and analyzing data.

Skills

Python

SQL

Excel

Tableau

Databricks

Salesforce

Data storytelling

Education

MS in Data Science

Tools

Tableau

Databricks

Salesforce

Job description

Applied Materials in Santa Clara, CA seeks a data-driven marketer to analyze market trends, size markets, and support product roadmaps with data-driven insights. The role requires translating analytical results into actionable business strategies and collaborating across teams.

With 3–5 years of analytics experience and proficiency in Python, SQL, and Excel, you will contribute to pricing, forecasting, and data visualization efforts while navigating a fast-paced tech environment.