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Data Storyteller

Santa Clara

SpringCube

Full-time - Senior Engineer

IT Hardware & Devices: Personal Computing

Posted 3 weeks ago

Disclosed upon interview

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Job Description

The SpringCube team curated the following job opportunity to help you in your job search. Explore the position below to find your next career move.

Company Overview

A leading global technology company is dedicated to creating innovative products and experiences that transform industries and enrich the lives of customers worldwide. The organization fosters a culture of inclusion, collaboration, and excellence, empowering employees to do their best work while driving technological advancement and exceptional customer experiences.

The company’s online retail division is responsible for delivering a highly personalized digital shopping experience at scale. As commerce continues to evolve through artificial intelligence and agentic platforms, the organization is building the infrastructure needed for a future where AI agents can shop on behalf of consumers, creating new opportunities for innovation, insight, and growth.

The organization is seeking a Data Storyteller to help shape its understanding of the rapidly evolving agentic commerce landscape. This role focuses on transforming complex data, platform intelligence, and market signals into actionable insights, strategic narratives, and executive-level recommendations that guide decision-making and investment priorities.

The ideal candidate combines analytical expertise with exceptional communication and storytelling skills, leveraging modern analytics platforms and AI-powered tools to uncover trends, evaluate performance, and communicate insights effectively to senior stakeholders.

Key Responsibilities

  • Own platform intelligence across the agentic commerce ecosystem.
  • Analyze and communicate performance across platforms, user experiences, and global markets.
  • Develop decision-making frameworks, quarterly business reviews (QBRs), and authoritative sources of truth.
  • Recommend where and why digital experiences should scale across platforms.
  • Track platform capabilities, competitive developments, and ecosystem changes across major agentic commerce platforms.
  • Monitor industry trends, internal intelligence, and partner developments on an ongoing basis.
  • Analyze experience performance across engagement, conversion, and customer journey completion metrics.
  • Build evaluation frameworks and comparison models for platforms, features, and investment opportunities.
  • Translate complex and ambiguous datasets into clear strategic recommendations and points of view.
  • Design and deliver executive-ready materials, including presentations, business briefings, performance narratives, and QBRs.
  • Partner with strategy and delivery teams to ensure insights drive business decisions and execution.

Required Qualifications

  • 4+ years of experience in analytics, strategy, product intelligence, management consulting, or a related field.
  • Demonstrated ability to synthesize complex and ambiguous data into clear insights and recommendations.
  • Strong proficiency with analytics and business intelligence platforms, including Tableau and Adobe Analytics.
  • Experience evaluating digital platforms, products, or technology ecosystems.
  • Proven ability to create executive-level presentations with strong visual storytelling capabilities.
  • Familiarity with agentic platforms and emerging AI-driven interaction models.
  • Experience using AI tools such as ChatGPT, Claude, Gemini, or similar platforms for research, analysis, synthesis, and content creation.
  • Experience producing recurring intelligence products, including newsletters, briefings, or market reports.
  • Understanding of AI, digital commerce, or platform ecosystems.
  • Strong systems-thinking capabilities with the ability to connect platform trends to business outcomes.
  • Experience collaborating cross-functionally with product, engineering, commercial, or strategy teams.
  • MBA or advanced degree in a related discipline is preferred.

Disclaimer

SpringCube curates tech job listings from various company websites to support tech professionals globally.

  1. No Endorsement: Job ads on SpringCube do not imply endorsement of their authenticity or quality.
  2. No Client Relationship: This company is not a client of SpringCube unless stated.
  3. To Apply: Click the Apply button to be redirected to the hiring company’s application page for this job.
  4. No Liability: SpringCube is not liable for inaccuracies.