Automation & Statistical Analytics Specialist

Sandisk understands how people and businesses consume data and we relentlessly innovate to deliver solutions that enable today's needs and tomorrow's next big ideas. With a rich history of groundbreaking innovations in Flash and advanced memory technologies, our solutions have become the beating heart of the digital world we're living in and that we have the power to shape.

Sandisk meets people and businesses at the intersection of their aspirations and the moment, enabling them to keep moving and pushing possibility forward. We do this through the balance of our powerhouse manufacturing capabilities and our industry-leading portfolio of products that are recognized globally for innovation, performance and quality.

Sandisk has two facilities recognized by the World Economic Forum as part of the Global Lighthouse Network for advanced 4IR innovations. These facilities were also recognized as Sustainability Lighthouses for breakthroughs in efficient operations. With our global reach, we ensure the global supply chain has access to the Flash memory it needs to keep our world moving forward.

About the Role:

We are looking for a highly skilled Automation Specialist with strong expertise in Python to join our central automation and analytics team. This role focuses on building scalable automations, integrating with APIs, and applying advanced statistical techniques to detect anomalies, identify trends, and support forecasting.

While SQL is required for data extraction and manipulation, the core of this role is designing and implementing Python-based automations and leveraging statistical modeling to drive actionable insights.

Key Responsibilities:

• Design, develop, and maintain automation workflows using Python and API integrations to replace manual processes
• Apply statistical methods and anomaly detection techniques to uncover irregularities and insights in large datasets
• Build and maintain forecasting models to support planning and operational decision-making
• Collaborate with cross-functional teams (Operations, Product, Sales, etc.) to understand challenges and translate them into automated and data-driven solutions
• Perform targeted data extraction using SQL to support automation and analytics processes
• Ensure automation reliability, data quality, and process consistency across departments
• Lead initiatives that significantly reduce manual workload and improve efficiency across the organization

Requirements:

• Minimum 2 years of experience in automation, analytics, or a related role
• Expert in Python programming – Must
• Hands-on experience with API integrations – Must
• Solid background in statistical analysis, anomaly detection, and forecasting techniques
• Strong business understanding with the ability to analyze complex processes and design automated solutions
• SQL skills for data extraction and manipulation
• Experience working with large datasets and automation infrastructures
• Excellent communication and teamwork skills
• Experience with BI tools (Power BI, Tableau, Looker) – a plus
• Experience with cloud platforms (AWS, GCP, Azure) – a plus

Sandisk thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution.

Sandisk is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at [email protected] to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.