Senior Analytics Engineer - Finance (R6185)

shieldai· FP&A
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📍 San Diego, CaliforniaFull Time Employee💰 USD 120K–190K

About this role

Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. 

Job Description:

Shield AI is seeking a Senior Analytics Engineer to lead the design and delivery of trusted data products for Corporate FP&A, Accounting, Program Finance, GTM, and Strategic Finance. You will independently shape analytical solutions, establish shared standards, and turn business priorities into AI-enabled decision support on our Databricks platform. This senior individual contributor role combines hands-on engineering with cross-functional influence and mentorship to expand Finance's impact.

What you'll do:

  • Shape the analytics roadmap with Finance and GTM leaders, prioritizing high-impact products and resolving competing requirements.
  • Build governed datasets and semantic models that support reporting, planning, scenario analysis, and strategic decisions.
  • Set modeling and metric standards across domains, exercising judgment on architecture, quality, and maintainability.
  • Develop conversational analytics and AI-enabled workflows, including Databricks Genie, grounded in trusted business context.
  • Use AI coding assistants to accelerate delivery and explore new capabilities while maintaining rigorous validation and quality.
  • Own business-facing reconciliation and acceptance, partnering with data engineering on reliable delivery.
  • Mentor engineers and Finance partners, strengthening technical practices and self-service capabilities.

Required qualifications:

  • Substantial experience in analytics engineering, BI engineering, or financial data modeling, with advanced SQL and a record of delivering production data products.
  • Demonstrated ability to lead ambiguous, cross-functional work from problem definition through adoption.
  • Proficiency with AI coding assistants and sound judgment when reviewing generated work.
  • Practical experience with AI-assisted analytics, ideally Databricks Genie; adjacent Snowflake Cortex or comparable experience is welcome.
  • Sound architectural judgment, disciplined development practices, and experience mentoring others and influencing senior stakeholders.

Preferred qualifications:

  • 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.
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Full-time regular employee offer package:
Pay within range listed + Bonus + Benefits + Equity
 
Temporary employee offer package:
Pay within range listed above + temporary benefits package (applicable after 60 days of employment)
 
Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.
 
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Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. 

Frequently Asked Questions

What is the salary for the Senior Analytics Engineer - Finance (R6185) role at shieldai?
The listed salary for this Senior Analytics Engineer - Finance (R6185) position at shieldai is USD 120K–190K. This is an Full Time Employee role.
Where is the Senior Analytics Engineer - Finance (R6185) position at shieldai located?
This Senior Analytics Engineer - Finance (R6185) role at shieldai is based in San Diego, California. The position is listed as on-site or hybrid. Check the full job description or apply directly to confirm the work arrangement.
Is the Senior Analytics Engineer - Finance (R6185) role at shieldai full-time or part-time?
This is listed as a Full Time Employee position. It is posted as a Senior Analytics Engineer - Finance (R6185) role in the FP&A department at shieldai.
Which team or department does the Senior Analytics Engineer - Finance (R6185) at shieldai belong to?
This Senior Analytics Engineer - Finance (R6185) position is part of the FP&A department at shieldai. See the full job description for more information about the team structure and responsibilities.
How do I apply for the Senior Analytics Engineer - Finance (R6185) position at shieldai?
Click the "Apply Now" button on this page. You will be redirected to shieldai's official application portal hosted on lever where you can submit your application directly.
When was the Senior Analytics Engineer - Finance (R6185) job at shieldai posted?
This Senior Analytics Engineer - Finance (R6185) position at shieldai was posted on Oct 10, 2026. Apply as soon as possible — early applications are often reviewed first.
Senior Analytics Engineer - Finance (R6185)
shieldai · 💰 USD 120K–190K
Apply for this role ↗

You'll be redirected to shieldai's official application page on Lever.