Business and Marketing Analyst

We are looking for a Data & Business Research Analyst with strong technical skills to join our central Analytics & Automation team at SanDisk. This role blends analytical thinking, business acumen, and technical capabilities to uncover patterns, design workflows, and drive data-driven decision-making across departments.
The ideal candidate understands both data and business operations — someone who can analyze how teams work, identify optimization opportunities, and deliver actionable insights to leadership.

Key Responsibilities:
• Analyze business processes across Sales, Customer Operations, and other departments to identify gaps and optimize workflows.
• Perform deep-dive data analysis to detect patterns, anomalies, and trends supporting strategic decisions.
• Design and document end-to-end workflows connecting data, systems, and business processes.
• Collaborate with cross-functional teams to translate challenges into measurable data insights.
• Develop and maintain SQL queries and dashboards for extracting, visualizing, and monitoring key metrics.
• Present findings and recommendations to senior management.
• Partner with the Automation team to transform analytical findings into scalable solutions.
דרישות התפקיד
3+ years of experience in business/data analysis or process research.
Strong SQL skills and ability to work with large datasets - must.
Strong business orientation and ability to connect data insights to operational improvements.
Experience with data visualization and analytics tools (Power BI, Tableau, Adobe Analytics, or similar) - advantage.
Understanding of workflow design and automation concepts - advantage.
Experience working with Sales or Customer Operations teams – advantage.
Experience in eCommerce or GCS (Global Customer Support/Operations) environments - advantage.
Excellent communication and presentation skills.
Experience collaborating with multiple business units (Sales, Customer Ops, Finance, etc.).
Highly analytical, detail-oriented, and curious to explore business data patterns.