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Posted 3w ago

Senior Manager, Business Intelligence & Analytics

@ Accellor
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San Jose, California, United States
HybridFull Time
Responsibilities:lead analytics, develop dashboards, mentor analysts
Requirements Summary:Bachelor's degree; 8+ years BI/analytics/data experience; proven senior stakeholder support; strong analytics; BI tools and SQL/Excel; cross-functional collaboration; executive communication; semiconductor/high-tech exposure; familiarity with metrics and reporting; cloud data platforms; mentoring analysts.
Technical Tools Mentioned:Tableau, Power BI, Looker, SQL, Excel, Snowflake, AWS, Azure, GCP
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Job Description

Accellor is an AI-native services firm purpose-built for the post-ChatGPT era. Free from legacy constraints, we focus on delivering measurable business outcomes through advanced AI, data, and engineering capabilities. Our mission is to operationalize AI at scale and unlock sustained enterprise value.  

With a proven track record of enabling Fortune 100 enterprises and global innovators, Accellor stands as a trusted partner for organizations seeking to harness the full potential of AI. Our vision is clear: to build intelligent, connected ecosystems that deliver measurable outcomes and redefine the future of enterprise transformation. 

We are seeking an experienced Senior Manager, Business Intelligence & Analytics to lead business-facing analytics initiatives across Sales, Marketing, Product, and Finance. This role will serve as a strategic partner to senior leadership, translating business needs into data-driven insights and enabling informed decision-making.

The ideal candidate combines strong business acumen with analytics expertise and has experience working in complex, data-rich environments—preferably within semiconductor or high-tech industries.

Key Responsibilities

  • Serve as the primary analytics partner to senior stakeholders, including Sales, Marketing, Product, and Finance leadership
  • Translate business questions and strategic objectives into actionable analytics initiatives
  • Analyze Sales, Product, and Order data to identify trends, risks, and opportunities impacting business performance
  • Develop and maintain dashboards, reports, and executive presentations to support decision-making
  • Build and manage a prioritized roadmap of analytics and reporting initiatives aligned with business goals
  • Identify gaps in data availability, quality, and visibility; recommend solutions to improve analytics capabilities
  • Partner with data engineering and IT teams to define requirements and ensure delivery of scalable data solutions
  • Apply industry knowledge (semiconductor / FPGA preferred) to contextualize insights and support commercial decision-making
  • Communicate complex data findings in a clear and concise manner to non-technical stakeholders
  • Mentor junior analysts and promote best practices in data analysis and reporting