Data Analyst NCG/Early Career

Applied MaterialsSanta Clara, CA

About The Position

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. We are seeking a Data Analyst (I/II) – New College Graduate / Early Career candidate to join the Operations team and help drive data‑driven decision‑making across the organization. In this role, you will partner closely with cross‑functional stakeholders to analyze complex datasets, build, and maintain dashboards/scorecards, and deliver insights that support business strategy, and drive operational efficiency and performance. 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.

Requirements

  • Bachelor’s or Master’s degree in Data Analytics, Business Analytics, Applied Analytics, or a related field.
  • Strong hands‑on experience with data analysis tools (e.g., Excel, SQL, and Python) through coursework, projects, or internships.
  • Familiarity with dashboards, data visualization, automation, and AI‑enabled analytics concepts.
  • Ability to translate data and insights into clear executive narratives, including slide content development, visual design, and logical story flow (e.g., problem → insight → action).
  • Experience working with business metrics, OKRs, financial data, or operational performance data.
  • Strong communication skills, attention to detail, and eagerness to learn in a fast‑paced environment.
  • Curious and motivated to build domain expertise in the semiconductor industry, including markets, products, and operational processes.
  • Passionate about solving ambiguous problems and developing practical data solutions where requirements are not fully defined.
  • A strong cross‑functional collaborator, able to integrate data from multiple sources and communicate insights.
  • Proactive and ownership‑driven, willing to support teammates and take initiative when capacity allows.

Nice To Haves

  • Exposure to Operations, Supply Chain, Manufacturing, Quality, IBP/S&OP, Gross Margin analytics is a plus.
  • Experience with Tableau, Databricks, and/or Salesforce is a plus.

Responsibilities

  • Build and maintain automated data pipelines for applications, dashboards, and performance scorecards.
  • Apply AI-assisted analytics to detect trends, identify risks, and generate actionable insights for improved operational decision-making.
  • Prepare executive-ready presentations with logical structure, clear narratives, and visuals that highlight issues, risks, options, tradeoffs, impacts, and recommended actions for leadership.
  • Prepare and organize analysis materials, metrics, and actionable recommendations to support executive reviews and informed decision-making.
  • Support operational planning, execution rhythms, and leadership communications while collaborating with cross-functional teams on key operational initiatives and executive reviews.
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