Data Engineer

Company Description

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.

Job Description

About the Role:

We are seeking a versatile Automation and Analytics Specialist to join our central analytics and automation team. This key role supports multiple departments by developing scalable data solutions, automating manual workflows, and providing deep business insights through advanced analysis and forecasting.

The ideal candidate combines strong technical skills in Python and SQL with solid experience in business process analysis and statistical modeling. They will understand complex processes, identify automation opportunities, and perform advanced analytics—including regression modeling and forecasting—to drive data-informed decisions and operational improvements.

Key Responsibilities:

• Analyze and map complex business processes to identify automation and efficiency opportunities, particularly within Customer Operations and other business units
• Develop, implement, and maintain automation workflows using Python and APIs to streamline manual tasks
• Extract, manipulate, and analyze data using advanced SQL queries
• Apply statistical techniques and predictive models such as regression analysis to generate actionable insights
• Build and maintain forecasting models to support planning and decision-making
• Collaborate with cross-functional teams (Product, Operations, Sales, etc.) to understand challenges and translate business questions into analytical frameworks and solutions
• Ensure data quality, consistency, and integrity across automated processes and reports
• Conduct detailed business analyses by breaking down processes into components and designing data-driven improvements and dashboards
• Drive initiatives that reduce manual workload and improve user experience across team

Qualifications

Requirements:

• Minimum 2 years experience in automation, analytics, or related roles
• Proficient in Python programming – required
• Advanced SQL skills – required
• Experience with statistical analysis, regression modeling, and forecasting techniques
• Strong business acumen and ability to understand and analyze complex business processes
• 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

Additional Information

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 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.