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 an experienced Data Analyst with expertise in Oracle PL/SQL, Tableau/Power BI, and Python to join our team. This role involves working on data development, visualization, automation, and performance optimization to drive business insights and efficiency.  

Key Responsibilities

 Database Development & Optimization
- Design, develop, and optimize Oracle PL/SQL stored procedures, functions, and triggers.  
- Create and maintain efficient, scalable database structures.  

Data Visualization & Reporting
- Develop insightful reports and dashboards using Tableau or Power BI.
- Translate business needs into data-driven visual solutions.  

Python Scripting & Automation
- Develop Python scripts for data manipulation, automation, and system integration.  
- Integrate Python scripts with Oracle databases and external applications.  

Data Migration & Integration
- Design and implement data migration scripts for seamless transitions.  
- Integrate databases with external systems using PL/SQL and Python.

Performance Optimization
- Analyze and optimize SQL queries, PL/SQL procedures, and Python scripts to enhance performance.  
- Troubleshoot and resolve database performance issues.  

 Collaboration & Stakeholder Engagement
- Work closely with cross-functional teams to support business and technical requirements.  
- Provide technical guidance and insights to stakeholders.  

Education & Experience  
- Bachelor’s degree in Engineering, Computer Science, or related field (BE/B-Tech preferred).  
- 6+ years of experience in database programming, data analytics, and visualization.  

Technical Expertise  
- Strong Oracle PL/SQL development skills, including query optimization and performance tuning.  
- Hands-on experience in Tableau or Power BI for data visualization.  
- Proficiency in Python for automation and data integration.  

Preferred Skills  
- Experience in the Supply Chain domain is a plus.  
- Ability to analyze complex data structures and solve technical challenges efficiently.  
- Strong communication and collaboration skills to work in a fast-paced environment

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.