Shield AI
Senior Analytics Engineer - Finance (R6185)
$120K–$190K
San Diego, California · On-site · Senior · Full-time · Posted Oct 10, 2026
- Experience
- Minimum 5 years with a bachelor’s degree, or minimum 3 years with a master’s degree; substantial experience in analytics engineering, BI engineering, or financial data modeling.
- Education
- Bachelor’s degree in computer science or a related technical or quantitative field, or a master’s degree.
About the job
Leads the design and delivery of trusted Finance data products and AI-enabled decision support on Databricks, partnering across Finance and GTM.
What you'll do
- Shape the analytics roadmap and prioritize data products with Finance and GTM leaders.
- Build governed datasets and semantic models for reporting, planning, scenario analysis, and strategic decisions; set modeling and metric standards.
- Develop conversational analytics and AI-enabled workflows, own business-facing reconciliation and acceptance, and mentor engineers and Finance partners.
What they ask for
- Bachelor’s degree in computer science or a related technical or quantitative field and a minimum of 5 years of related experience, or Master’s and a minimum of 3 years of related experience.
- Substantial analytics engineering, BI engineering, or financial data modeling experience, including advanced SQL and production data products.
- Demonstrated ability to lead ambiguous cross-functional work from problem definition through adoption.
- Proficiency with AI coding assistants; practical AI-assisted analytics experience; sound architectural judgment and disciplined development practices.
Nice to have
- Experience with Databricks, Python, semantic layers, or AI application development.
- Experience supporting FP&A, GTM, Strategic Finance, Accounting, or Program Finance; familiarity with enterprise planning, financial controls, or high-growth business environments.
Pay
USD 120,000–190,000 per year base salary
Tools
Databricks, Databricks Genie, Snowflake Cortex, SQL, Python
AI focus
Develop conversational analytics and AI-enabled workflows grounded in trusted business context; use AI coding assistants and validate generated work.
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