Experienced AI Data Analyst Jobs in Applied Materials Austin, TX

Join the Finance Systems and Integration (FSI) team as a Data Analytics and Finance AI Analyst! In this exciting role, you will be at the forefront of developing innovative solutions that harness next-gen technologies to deliver advanced data analytics and AI-driven insights for our Finance organization.

Key Responsibilities:

• Collaborate with the Finance organization and its business partners to identify, prioritize, and implement AI use cases using cutting-edge AI technologies.
• Work closely with the GIS Advanced Analytics and Data Solutions team to design and develop impactful data analytics and AI solutions for the Finance organization.
• Partner with cross-functional teams to gather AI and data analytics requirements and identify data sources.
• Detect data quality issues and implement effective corrective measures.
• Mentor and support junior analysts on the team.
• Develop and deliver relevant training to finance and cross-functional end-user communities.

Required Skills:

• Proactive, independent, and resourceful, with a self-motivated approach to identifying and resolving issues.
• Strong ability to prioritize and address challenges in a fast-paced, complex environment.
• Solid understanding of data governance principles, data quality, and data security.
• Proficiency in data analysis, AI, and visualization techniques.
• Excellent communication and interpersonal skills for effective collaboration.
• Ability to distill complex business requirements and technical issues into clear, concise messages for management.
• Strong skills in MS Excel, SQL, Python, and database management.
• Problem-solving and critical thinking abilities to tackle data-related challenges.
• Foundational knowledge of ERP and Cloud application capabilities and functionalities.

Minimum Qualifications:

• Bachelor’s degree in a related field (e.g., Computer Science, MIS, Data Management, Business Analytics).
• 3-5 years of experience in data analytics or AI development.
• Proven track record of successful project management and leadership in data-related roles.