Founded in 2015, Shield AI is a venture-backed deep-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include the V-BAT and X-BAT aircraft, Hivemind Enterprise, and the Hivemind Vision product lines. With offices and facilities across the U.S., Europe, the Middle East, and the 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.
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.
What you'll do:
Lead structured discovery sessions with Finance, FP&A, Accounting, and Product to define measurable business outcomes.
Translate business questions into data definitions, dimensional models, transformation logic, and semantic layer requirements.
Prototype and build Power BI dashboards and semantic models to validate logic before engineering productionization.
Develop advanced DAX measures, KPI frameworks, and scenario modeling logic for financial and operational reporting.
Partner closely with data engineers to ensure scalable pipeline design aligned with reporting and analytics needs.
Support statistical analysis and model output interpretation (forecasting, anomaly detection, classification) in partnership with data science cross-functional teammates.
Own metric definitions, documentation, governance standards, and data dictionaries to ensure enterprise consistency.
Design data validation, reconciliation, and UAT frameworks to ensure financial data integrity and audit readiness.
Identify opportunities to automate recurring reporting, improve process efficiency, and reduce manual analysis.
Operate as a cross-functional advisor who balances business strategy, data architecture awareness, and technical feasibility.
Required qualifications:
7+ years of experience in business analytics, analytics engineering, management consulting, or a related role.
Strong hands-on expertise in Power BI (DAX, semantic modeling, performance tuning, KPI design).
Solid proficiency in SQL for data exploration, validation, and transformation logic design.
Strong understanding of dimensional modeling, relational schemas, and data warehouse concepts.
Ability to translate ambiguous business problems into structured analytical frameworks and technical specifications.
Experience working directly with senior stakeholders in Finance, FP&A, or corporate strategy functions.
Comfort interpreting model outputs and understanding basic statistical concepts (variance, regression, forecasting assumptions).
Required qualifications:
Experience supporting enterprise financial reporting or project-based accounting environments.
Exposure to Microsoft Fabric, modern Lakehouse architectures, or analytics engineering workflows.
Experience collaborating on ML-enabled use cases such as classification, forecasting, or anomaly detection.
Background in regulated or compliance-driven environments.
Familiarity with Python for light analysis, validation, or automation tasks.