Data Analytics Engineer (Oracle, SQL, PLSQL, PowerBI, Python), 3-5 Years Experience
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 Power BI, Tableau, Oracle SQL/PLSQL, and Python. The ideal candidate will be responsible for building scalable analytics solutions, developing insightful dashboards, automating data processes, and delivering actionable business insights through effective data analysis and visualization.
Key Responsibilities
- Design, develop, and maintain interactive dashboards and reports using Power BI and Tableau.
- Develop and optimize Oracle SQL/PLSQL procedures, packages, functions, views, and queries.
- Build Python-based automation, data processing, and integration solutions.
- Design and support ETL processes, data pipelines, and data integrations across multiple sources.
- Analyze business and operational data to identify trends, opportunities, and actionable insights.
- Monitor and improve database, reporting, and dashboard performance.
- Collaborate with business and technical stakeholders to gather requirements and deliver analytics solutions.
- Ensure data quality, accuracy, consistency, and governance across reporting and analytics platforms.
Data Analytics Engineer (Oracle, SQL, PLSQL, PowerBI, Python), 3-5 Years Experience
Job Summary
We are seeking a highly motivated Data Analytics Engineer with 3-5 years of experience in Power BI, Tableau, Oracle SQL/PLSQL, and Python. The ideal candidate will be responsible for building scalable analytics solutions, developing insightful dashboards, automating data processes, and delivering actionable business insights through effective data analysis and visualization.
Key Responsibilities
- Design, develop, and maintain interactive dashboards and reports using Power BI and Tableau.
- Develop and optimize Oracle SQL/PLSQL procedures, packages, functions, views, and queries.
- Build Python-based automation, data processing, and integration solutions.
- Design and support ETL processes, data pipelines, and data integrations across multiple sources.
- Analyze business and operational data to identify trends, opportunities, and actionable insights.
- Monitor and improve database, reporting, and dashboard performance.
- Collaborate with business and technical stakeholders to gather requirements and deliver analytics solutions.
- Ensure data quality, accuracy, consistency, and governance across reporting and analytics platforms.
Qualifications
Education
- Bachelor's degree in Computer Science, Engineering, Information Technology, Data Science, Statistics, or a related field.
Experience
- 3-5 years of experience in Data Analytics, Business Intelligence, Data Engineering, or Database Development roles.
Technical Skills
- Strong hands-on experience with Power BI and/or Tableau dashboard development and data visualization.
- Proficiency in Oracle SQL and PL/SQL development.
- Strong knowledge of data modeling, ETL processes, and query optimization.
- Proficiency in Python for data analysis, automation, and integration.
- Experience working with large datasets and multiple enterprise data sources.
- Understanding of database performance tuning and reporting optimization techniques.
Preferred Skills
- Experience in Supply Chain, Manufacturing, Operations, or Business Analytics domains is an added advantage.
- Exposure to cloud platforms such as Azure or AWS is preferred.
- Knowledge of data warehousing concepts and dimensional modeling.
- Strong analytical, problem-solving, and communication skills.
- Ability to work effectively in a fast-paced, cross-functional environment.
Key Competencies
- Data Analytics & Reporting
- Data Visualization & Storytelling
- Business Intelligence (BI)
- Database Development & Optimization
- Data Integration & ETL
- Automation & Process Improvement
- Problem Solving & Critical Thinking
- Stakeholder Collaboration
- Continuous Learning & Innovation
Ideal Candidate Profile:
A versatile analytics professional with expertise across Power BI/Tableau, Oracle SQL/PLSQL, and Python, capable of transforming complex data into meaningful insights, automating business processes, and enabling data-driven decision-making.
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.