Company Description

Sandiskunderstands 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.

Sandiskmeets people and businesses at the intersection of their aspirations and the moment, enabling them to keep moving and pushing possibilityforward. We do this through the balance of our powerhouse manufacturing capabilities and our industry-leading portfolio of products that are recognized globallyforinnovation, performance and quality.

Sandiskhas two facilities recognized by the World EconomicForum as part of the Global Lighthouse Networkforadvanced 4IR innovations. These facilities were also recognized as Sustainability Lighthousesforbreakthroughs 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 movingforward.

Job Description

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

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.

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 [HIDDEN TEXT] 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.

Data Analytics Engineer (Oracle, SQL, PLSQL, PowerBI, Python), 3-5 Years Experience

Sr. Data Engineer/ Sr. PowerBI Developer