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Shield AI

Senior Analytics Engineer - Finance

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Description

You will shape the analytics roadmap with finance and GTM leaders, build governed datasets and semantic models, establish modeling and metric standards, and develop conversational analytics workflows. You will own reconciliation and acceptance, partner on reliable delivery, and mentor engineers and finance partners.

Responsibilities

  • Shape the analytics roadmap with Finance and GTM leaders
  • Build governed datasets and semantic models for reporting, planning, scenario analysis, and decision-making
  • Set modeling and metric standards across domains
  • Develop conversational analytics and AI-enabled workflows using Databricks Genie
  • Use AI coding assistants while maintaining validation and quality
  • Own business-facing reconciliation and acceptance
  • Partner with data engineering on reliable delivery
  • Mentor engineers and Finance partners

Requirements

  • Experience in analytics engineering, BI engineering, or financial data modeling
  • Advanced SQL
  • Experience delivering production data products
  • Experience leading ambiguous cross-functional work through adoption
  • AI coding assistants
  • AI-assisted analytics
  • Databricks Genie or comparable experience
  • Architectural judgment
  • Development practices
  • Mentoring
  • Databricks
  • Python
  • Semantic layers
  • AI application development
  • FP&A
  • GTM
  • Strategic Finance
  • Accounting
  • Program Finance
  • Enterprise planning
  • Financial controls

Benefits

  • Bonus
  • Benefits
  • Equity
  • Temporary benefits package after 60 days of employment

Skills

What Senior Data Analytics jobs ask for — and how much of it you have →
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See also

Data Analytics jobs by country — openings, pay and top skills →