Market Analyst III

Applied MaterialsSanta Clara, CA
$106,000 - $146,000

About The Position

Who We Are Applied Materials is a global leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. We design, build and service cutting-edge equipment that helps our customers manufacture display and semiconductor chips – the brains of devices we use every day. As the foundation of the global electronics industry, Applied enables the exciting technologies that literally connect our world – like AI and IoT. If you want to push the boundaries of materials science and engineering to create next generation technology, join us to deliver material innovation that changes the world. What We Offer Salary: $106,000.00 - $146,000.00 Location: Santa Clara,CA You’ll benefit from a supportive work culture that encourages you to learn, develop, and grow your career as you take on challenges and drive innovative solutions for our customers. We empower our team to push the boundaries of what is possible—while learning every day in a supportive leading global company. Visit our Careers website to learn more. At Applied Materials, we care about the health and wellbeing of our employees. We’re committed to providing programs and support that encourage personal and professional growth and care for you at work, at home, or wherever you may go. Learn more about our benefits.

Requirements

  • 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 (or equivalent academic / internship experience) working with data in analytical or business‑facing roles.
  • Proficient in Python, SQL, and Excel for data analysis, transformation, and modeling.
  • Experience working with business, financial, or operational datasets and translating analytical results into clear, structured insights.
  • Strong analytical thinking and problem‑solving skills, with the ability to communicate data‑driven findings effectively to cross‑functional stakeholders.
  • Business Expertise Has knowledge of best practices and how own area integrates with others; is aware of the competition and the factors that differentiate them in the market
  • Leadership Acts as a resource for colleagues with less experience; may lead small projects with manageable risks and resource requirements
  • Problem Solving Solves complex problems; takes a new perspective on existing solutions; exercises judgment based on the analysis of multiple sources of information
  • Impact Impacts a range of customer, operational, project or service activities within own team and other related teams; works within broad guidelines and policies
  • Interpersonal /Other Skills Explains difficult or sensitive information; works to build consensus
  • High energy to learn a new industry / semiconductor equipment
  • Ability to handle ambiguity and identify trends
  • Able to manage priorities and handle multiple tasks for tight timeline

Nice To Haves

  • Experience with data visualization and analytics tools such as Tableau; familiarity with platforms like Databricks and Salesforce is a plus.

Responsibilities

  • Research product marketing trends and conduct complex benchmarking analysis of the company’s markets, competition and product mix versus the competition (e.g. Product Marketing, Strategic Marketing, Technical Marketing)
  • Owns collection and use of market sizing and segmentation data in the BU strategy and marketing process.
  • Uses in-depth knowledge to contribute to diverse product road maps and conducts pricing/margin analysis
  • Provide complex product forecasts.
  • Develop product financial plans including cost reductions, margin maintenance and return on investment goals
  • Assist the field teams with direct marketing of key products to key accounts
  • Collects and analyzes data for Red Team analysis and annual and quarterly Business reviews
  • Focuses on KPU growth by tracking and analyzing data.
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