Lead Data Analyst

Sandisk • Milpitas, CA

5d

About The Position

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.

Requirements

• BA/BS or Equivalent Experience
• 5 -10 years in data analysis experience for consumer facing digital strategy solutions
• Strong analytical capability is required.

Nice To Haves

• Strong in-depth analysis using variety of data sources
• Excellent written and verbal communication
• Strong curiosity and relentless drive to build consumable data stories
• Detailed organization and project tracking
• Able to influence without authority
• Adobe Analytics and Tableau experience

Responsibilities

• Analyzes customer support operations data to support digital transformation initiatives across Sandisk Global Customer Support.
• Collects, validates, and interprets data from multiple data sources to identify trends, gaps, and opportunities for process improvement.
• Develops dashboards, recurring reports, and ad hoc analyses that measure self-service performance against business goals, customer experience outcomes, and transformation objectives.
• Weaves data analyses to interoperate with key operational metrics.
• Partners with program managers, operations leaders, IT, and business stakeholders to translate data findings into clear insights, recommendations, and action plans.
• Monitors key metrics, highlights risks or anomalies, and supports data-driven decision-making throughout the lifecycle of digital support initiatives.
• Supports requirements gathering, data discovery, metric definition, and reporting design for customer support transformation efforts.
• Works with stakeholders to understand operational questions, define measurable success criteria, and ensure data outputs are accurate, consistent, and actionable.
• Maintains reporting documentation, validates source data, investigates variances, and communicates findings in a clear and concise manner.
• Participates in business reviews, solution evaluations, and operational working sessions to provide analytical support, quantify impact, and recommend opportunities to improve support efficiency, automation effectiveness, containment, service quality, and customer experience.
• Based on business needs, reviews digital support solution data, market capabilities, and operational requirements to assist in evaluating tools, platforms, and analytics opportunities that support global customer support transformation.
• Regularly reviews operational insights from multiple sources, collates findings, and identifies key trends, risks, and performance drivers for program manager and leadership evaluation.
• Serves as analytical support for digital transformation programs, working with internal and partner resources to define metrics, build reports, analyze Jira or operational data, and track initiative performance.
• Attends digital strategy project meetings and supports development of data-driven documentation for digital strategy initiatives, inclusive but not limited to performance dashboards, business requirements, metric definitions, process flows, analysis summaries, and operational readouts.
• Contributes to the analysis of conversational get-help content performance, customer journey behavior, containment effectiveness, and support channel outcomes to inform content strategy and continuous improvement recommendations.
• Supports special analysis projects as determined by Management.

Benefits

• 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
• Sandisk's Savings 401(k) Plan
• Short-Term Incentive (STI) Plan
• Long-Term Incentive (LTI) program

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Associate degree