Market Analyst

Applied Materials • Santa Clara, CA

1d • Onsite

About The Position

Applied Materials is the world leader in materials engineering solutions, enabling the production of virtually every new chip and advanced display globally. Our cutting-edge expertise in modifying materials at the atomic level and at scale empowers customers to create revolutionary products—from smartphones and supercomputers to virtual reality headsets and autonomous vehicles. At Applied Materials, we believe in turning bold ideas into reality. Our innovations Make Possible a Better Future. Within our company, the same "Make Possible" philosophy drives everything we do. We are passionate about our people and teams who continuously push the boundaries of today’s benchmarks, achieving great things while empowering others along the way. We're proud to foster a Culture of Inclusion, where everyone feels they belong, are empowered to bring their whole self to work, and are inspired to grow. In this exciting and challenging role, you'll have the opportunity to engage with a wide range of domains within a strategic marketing analytics team. You’ll take ownership of maintaining and improving existing solutions, while also developing new ones using analytical tools. This is an intermediate level position designed for you to showcase your analytical expertise and grow your career, whether deeper in the technical realm or expand into the business and management domain.

Requirements

• Intermediate to expert in ETL processes or concepts and familiarity with Excel is foundational to success here.
• Familiarity with data visualization and design principles that emphasizes audience experience and accessibility.
• Solid grasp of basic statistical analysis, attention to detail, pattern recognition, with ability to zoom in & out of a data landscape.
• An understanding of- or rapid ability to learn- how data supports and how decisions are made in financial, marketing strategies, and product management is essential.
• Can zoom in and out from transaction-level-detail to architectural design of data pipelines and business processes.
• Passion for simplifying sophistication, eliminating unnecessary complexity while streamlining and demystifying necessary complexity.
• Able to explain complex ideas in simple terms, exchanges straightforward information, asks questions and checks for understanding.
• Collaborate with a variety of personalities, so being a team player with an open attitude and a solution-oriented mindset is a must.
• Strength with Excel and marketing anlaysis.
• Basic statistics knowledge, critical thinking, Track record of building data models and data products that are not only functional but delightful to use.
• Communicates with clarity and influence.

Nice To Haves

• 3+ years of work that demonstrates analytical prowess, business or social impact acumen, with an ability to communicate with impact.
• Advanced experience and command with Excel, data wrangling/ETL, and automating data pipelines.
• Experience working with and connecting datasets from various sources and concepts from multiple domains.
• Experience building (coding, vibe coding, or using ETL packages) production-worthy programs or apps that leverage complex and disparate data sets.

Responsibilities

• Go-to person for updating financial and market models that blend complex disparate qualitative and quantitative sources, aligns assumptions with key stakeholders, and presents results clearly and concisely.
• Build and maintain financial and marketing models in Excel to support data-driving decision-making and forecasting.
• Studies quantitative data, applied business domain knowledge, formulates and tests hypotheses, discovers business implications from the data, understands dataset and how it connect to various business and market verticals/horizontals.
• Apply your understanding of the data and the business into meaningful insights and concise summaries, ensuring the audience understands the story behind the numbers.
• Takes full ownership of projects, set timelines, and guides stakeholders in the right direction based on data, insights, and milestones.
• Champion for data-driven decision-making and using technology (think: data science/ML) to improve the productivity of your customers.

Benefits

• supportive work culture that encourages you to learn, develop, and grow your career
• comprehensive benefits package
• participation in a bonus and a stock award program, as applicable

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 5,001-10,000 employees