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Senior Data & AI Analytics Developer

Relativity Space · Long Beach, CA, United States

External listingfull-timeabout 2 months ago

About The Role

Join our Finance team as a Senior Data & AI Analytics Developer II. In this role, you will be responsible for developing enterprise-scale BI solutions that drive financial visibility and decision-making across Finance, Accounting, and partner organizations. You will own large-scale projects end-to-end, influence department-level BI strategy, and serve as a technical anchor and mentor for the broader team. You will also design and implement AI-native reporting experiences, own the end-to-end development of analytical data models and dashboards, and communicate findings to both technical peers and executive audiences.

  • Architect and govern AI-powered analytics solutions across the organization, including deploying and optimizing Agentic BI platforms.
  • Design and implement AI-native reporting experiences that deliver operational and financial insights for Finance, Accounting, and leadership.
  • Own the end-to-end development of analytical data models and dashboards, including requirements gathering, data modeling, dashboard design, validation, and ongoing enhancements.
  • Experience implementing or working with AI-powered analytics tools (Aperium, Tableau Pulse, ThoughtSpot, or similar agentic BI platforms)
  • Excellent communication and leadership skills to document models, define metrics, and train end users
  • Expert in data visualization, data storytelling, and Microsoft Office applications
  • Strong understanding of semantic layers and data structures optimized for AI model consumption
  • Experience using GitLab, dbt, and CI/CD pipelines for data workflow automation
  • 7+ years of experience in data modeling and business intelligence, including at least 2 years focused on financial or accounting data
  • Expertise in SQL and working with ERP data systems
  • Experience with Infor LN or comparable ERP systems
  • Experience in aerospace or manufacturing industries
  • Background in Power BI or traditional BI tools (helpful for migration/replacement projects)
  • Familiarity with LLM capabilities, prompt engineering, or RAG architecture

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