Senior Data Analytics Engineer – Fab Planning Analytics

Sandisk • Milpitas, CA

4d • Onsite

About The Position

Sandisk is seeking a senior-level Data Analytics Engineer to drive high-impact analytics in support of our Central Fabrication Planning function. In this role, you will turn complex manufacturing and planning data into influential, actionable recommendations that improve factory outcomes with our manufacturing partner. You will operate as a technical leader—owning analytics problem framing, data exploration, modeling, and stakeholder communication—while innovating new methods to increase planning effectiveness, execution predictability, and operational performance. You will closely collaborate with the Global Operations team, including the Japan team.

Requirements

• Advanced degree (M.S. or Ph.D.) in Engineering, Computer Science, Data Science, Statistics, Operations Research, Industrial Engineering, Physics, or a related discipline.
• 8+ years of professional experience in data analytics in an engineering/manufacturing/industrial setting.
• Extensive semiconductor industry experience (target: ~10 years), with demonstrated exposure to production operations and decision cycles.
• Daily professional proficiency with: SQL / database querying (complex joins, performance-minded query patterns), programming/scripting (Python preferred; R/Scala/Java acceptable depending on ecosystem), analytics workflows (data wrangling, exploratory analysis, automation, reproducibility).
• Strong ability to convert analysis into clear recommendations that decision makers can act on—under constraints, imperfect data, and competing priorities.

Nice To Haves

• Deep experience in semiconductor factory operations, especially fab planning, production execution, and mass production environments (e.g., capacity planning, WIP management, cycle time, tool productivity, constraint/bottleneck analysis).
• Experience with scenario modeling, simulation, or optimization methods (e.g., linear programming, heuristics, queuing, discrete-event simulation).
• Familiarity with data platforms commonly used in enterprise analytics (data lake/warehouse/lakehouse patterns), and tools such as Databricks/Spark, BigQuery, Redshift, etc. (tool choice can vary by environment).
• Strong data visualization and storytelling skills (e.g., Power BI / Tableau / Spotfire or equivalent).
• Comfort working in JV / partner environments where governance, security, and data handling requirements matter.
• Bilingual fluency in English (and Japanese as optional) (business + technical communication).
• Given the close collaboration with Global Operations, this role requires the ability to work at the Milpitas office.

Responsibilities

• Partner with Central Fab Planning to define high-value questions, success metrics, and decision workflows; translate ambiguous problems into analytic deliverables and recommendations.
• Deliver actionable insights that influence manufacturing outcomes, such as capacity utilization, WIP/cycle time, bottleneck management, demand-supply alignment, yield impacts to plan, and execution variance.
• Build and maintain analytics solutions using daily hands-on work with: data querying (SQL and related query tools), scripting/programming (Python and/or equivalent), datasets across multiple sources (manufacturing systems, planning systems, operational databases, logs).
• Develop robust data pipelines and data quality practices to ensure analytic outputs are trusted, reproducible, and scalable (e.g., ETL/ELT, validation checks, monitoring).
• Create decision-ready outputs (dashboards, reports, structured analyses, scenario comparisons) that highlight tradeoffs, risks, and next best actions.
• Apply advanced analytics / statistical methods (and where appropriate, ML/optimization) to improve planning accuracy and operational decisions.
• Communicate fluently in English (Japanese as optional), including delivering executive-level summaries, facilitating working sessions, and translating technical/operational nuance across global teams.
• Mentor and influence across functions—helping teams adopt data-driven practices and raising analytic maturity through standards, reusable code, and best practices.
• Occasional international travel to collaborate with global stakeholders and manufacturing partner teams.

Benefits

• We offer a comprehensive package of benefits including paid vacation time; paid sick leave; medical/dental/vision insurance; life, accident and disability insurance; tax-advantaged flexible spending and health savings accounts; employee assistance program; other voluntary benefit programs such as supplemental life and AD&D, legal plan, pet insurance, critical illness, accident and hospital indemnity; tuition reimbursement; transit; the Applause Program, employee stock purchase plan, and the Sandisk's Savings 401(k) Plan.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 501-1,000 employees