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.

We are seeking a highly motivated Data Analytics Engineer with 3-5 years of experience in Oracle PL/SQL, Python, and Data Analytics. The ideal candidate will be responsible for developing scalable data solutions, automating processes, ensuring data quality, and delivering actionable insights that support business decision-making.

Key Responsibilities

• Develop and optimize Oracle SQL/PLSQL procedures, packages, functions, views, and queries.
• Build Python-based automation, data processing, and integration solutions.
• Design, develop, and support ETL processes, data pipelines, and database integrations.
• Analyze data and generate insights to improve business performance and operational efficiency.
• Monitor and enhance database, reporting, and application performance.
• Collaborate with business and technical teams to gather requirements and deliver analytics solutions.
• Ensure data quality, accuracy, consistency, and governance across analytics platforms.

Education

• Bachelor's degree in Computer Science, Engineering, Information Technology, Data Science, or a related field.

Experience

• 3-5 years of experience in Data Analytics, Data Engineering, or Database Development roles.

Technical Skills

• Strong hands-on experience in Oracle SQL and PL/SQL development.
• Proficiency in Python for data processing, automation, and integration.
• Experience with ETL processes, data modeling, and query optimization.
• Good understanding of database performance tuning and troubleshooting.

Preferred Skills

• Experience in Supply Chain, Manufacturing, or Operations Analytics is an added advantage.
• Exposure to cloud platforms such as Azure or AWS is preferred.
• Hands-on experience with Power BI and/or Tableau for reporting and data visualization is a plus.
• Strong analytical, problem-solving, and communication skills.
• Ability to work effectively in a fast-paced, cross-functional environment.

Key Competencies

• Data Analytics & Reporting
• Database Development & Optimization
• Data Integration & ETL
• Business Intelligence & Visualization
• Automation & Process Improvement
• Problem Solving & Critical Thinking
• Stakeholder Collaboration
• Continuous Learning & Innovation

This role is ideal for professionals who enjoy working across data engineering, analytics, and automation, and are passionate about transforming data into meaningful business insights.

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.