Analyst 3, Data Analytics at Sandisk

Batu Kawan, Penang, Malaysia -

Full Time

Start Date

Immediate

Expiry Date

08 Jul, 26

Salary

0.0

Posted On

09 Apr, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Power BI, Python, Data Analysis, Business Intelligence, AI Solutions, Logistics Analytics, Process Optimization, Digital Transformation, Data Modeling, Dashboard Design, Supply Chain Analytics, Technical Leadership, Requirement Analysis, Automation, Stakeholder Management

Industry

Semiconductor Manufacturing

Description

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 Logistics Center of Excellence (COE) is the global hub driving logistics process excellence and digital transformation. The team focuses on process optimization, digital enablement, and advanced analytics to support data‑driven decision‑making across the logistics organization. This role plays a key individual‑contributor and technical leadership role in delivering BI and AI solutions. You will work closely with logistics business stakeholders to identify requirements, design and develop BI/AI solutions, and lead capability building within the COE team. ESSENTIAL DUTIES AND RESPONSIBILITIES: Act as an independent BI/AI partner to logistics business teams, understanding requirements and proactively proposing data, BI, and AI solutions to address business needs. Design, develop, and maintain BI and AI solutions using Power BI and approved company AI and analytics platforms. Translate business problems into analytical models, dashboards, and insights that support operational and strategic decision‑making. Own end‑to‑end delivery of digital tasks, including requirement clarification, solution development, testing, deployment, and post‑deployment support. Communicate effectively with business stakeholders to track progress, provide status updates, and manage expectations throughout the project lifecycle. Provide technical leadership in BI/AI within the Logistics COE, including knowledge sharing, best practices, and hands‑on training for team members. Support broader logistics digital transformation initiatives and complete additional assignments as directed by the supervisor. Qualifications REQUIRED: Bachelor of Engineering or Masters. With at least 5 years of professional working experience in industry Strong knowledge of Business Intelligence concepts and hands‑on proficiency with Power BI; experience with additional BI tools (e.g., Tableau) is a plus. Solid Python programming skills, with experience in data analysis, automation, and applied AI use cases. Ability to analyze complex data sets and transform them into clear, actionable insights. Strong communication skills, with the ability to understand business requirements, document solutions, and provide clear task status updates. Team‑oriented mindset with the ability to collaborate effectively while also working independently. Demonstrated self‑learning capability and curiosity to continuously adopt new technologies and methods in digital transformation and analytics. PREFERRED: Experience supporting logistics, supply chain, or operations analytics. Exposure to enterprise data platforms, data lakes, or AI enablement tools. Experience mentoring or upskilling peers in BI or analytics technologies. 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 [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. 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 to Sandisk Ethics Helpline or email [email protected]. Business Function: Data Analytics Work Location: Penang SDSM Office--LOC_SNDK_Seberang Perai Office

Responsibilities

You will design and develop BI and AI solutions to support data-driven decision-making within the logistics organization. Additionally, you will act as a technical leader, collaborating with stakeholders to translate business problems into actionable analytical models.