Company Description

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.

Job Description

The Analyst 1 (Warehouse) drives execution and improvement of warehouse operations through data-driven insights, digital tools, and process optimization. This role contributes from day one by enabling real-time operational visibility, strengthening data integrity, and supporting decision-making.

The Analyst plays an active role in transforming warehouse operations from manual processes to automated, intelligent, and connected workflows—improving efficiency, reducing cycle time, and enhancing inventory control.

Core Focus For Fresh Grads

Enablereal-time operational visibilityacross warehouse activities
Own and improvedata integrity and system reliability
Contribute toprocess efficiency and cycle time reduction
Design and implement digital solutions to eliminate manual work
Support transformation towards automated, data-driven warehouse operations (IR4.0/IR5.0)

Essential Duties And Responsibilities

Extract, structure, and validate WMS/ERP data to ensure high data integrity and usability for operations.
Develop and maintainreal-time dashboards and visual management toolsfor operational monitoring (e.g., GR TAT, WO cycle time, WARS, productivity).
Monitor operational flows (inbound, kitting, outbound, replenishment) and proactively highlight risks or bottlenecks impacting performance.
Identify data anomalies, system gaps, or transaction failures and drive timely resolution with relevant stakeholders.
Support inventory accuracy through data-driven variance analysis and root cause identification.
Ensure visibility and control of exceptions (MRB/damaged/expired) through structured tracking and resolution mechanisms.
Drive automation of repetitive tasks using digital tools, scripting, or system enhancements.
Design and enhance digital workflows to replace manual tracking and improve process reliability.
Develop data models or visualizations that enable faster and better operational decisions.
Contribute to digitalization initiatives (e.g., WMS enhancements, automation pilots, system integration, IoT-enabled tracking).
Apply structured problem-solving using data to eliminate recurring operational issues.
Maintain SOPs and digital workflows to ensure consistency, scalability, and audit readiness.
Collaborate with Ops, Planning, QA, IT, and Procurement to drive cross-functional solutions.
Take ownership of assigned operational processes and continuously improve performance.
Uphold EHS/ESD/5S standards in all activities.

Key Performance Indicators

GR TAT Accuracy ≥ 99%
WO Cycle Time ≤ 2.8 hours
Data Integrity Level: High accuracy and consistency across systems
Operational Visibility: Availability and reliability of real-time dashboards/tools
Process Efficiency Gains: Measurable reduction in cycle time or manual effort
Digital Contribution: Implementation of automation, digital workflows, or system improvements
Issue Resolution Effectiveness: Timely identification and closure of operational/system gaps
Audit Compliance Rate: 100% without findings

Qualifications

REQUIRED:

Bachelor's in Logistics/Supply Chain/Industrial Engineering/Business Analytics/Data Science/Computer Science (or related).
Strong Excel/data handling skills (data structuring, transformation, analysis).
Foundational BI capability (Power BI/Tableau—ability to build or modify dashboards).
Basic understanding of warehouse operations and data flows (WMS/ERP).
Strong analytical thinking and problem-solving capability.
Ability to work with large datasets and translate data into actionable insights.
Effective communication and cross-functional collaboration skills.
Demonstrated ability (projects/internship) to use digital tools or data to solve real-world problems.

Preferred

Programming or scripting knowledge (Python, SQL, VBA, Power Query).
Experience in building dashboards, automation tools, or data pipelines.
Exposure to warehouse systems (WMS/ERP) or operations analytics.
Familiarity with Lean, Kaizen, or structured problem-solving methodologies.
Exposure to automation technologies, IoT, AI/ML, or smart manufacturing concepts.

What Success Looks Like (First 6–12 Months)

Enables reliable, real-time visibility of warehouse operations.
Identifies and resolves operational or data gaps proactively.
Delivers measurable improvements in efficiency, accuracy, or cycle time.
Implements at least one automation, digital workflow, or system enhancement.
Demonstrates ownership of a process area and drives continuous improvement.

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 [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.

NOTICE TO CANDIDATES:Sandisk has received reports of scams where a payment is requested on Sandisk's behalf as a condition for receiving an offer of employment. Please be aware that Sandisk and its subsidiaries will never request payment as a condition for applying for a position or receiving an offer of employment. Should you encounter any such requests, please report it immediately toSandisk Ethics Helpline or email [HIDDEN TEXT].

Analyst 1, Warehouse Digital Operations & Transformation