Strategic Data Analyst Placement

Responsibilities

• Translate complex, multi-source datasets into concise executive narratives that communicate not just findings but implications and data limitations.
• Develop and maintain analytical deliverables including executive-facing presentations, insight memos, and self-service dashboards.
• Write sophisticated queries against Palantir Foundry Ontology to extract, transform, and validate data from core operational tables and dbt models.
• Contribute to the analytics engineering layer that underpins your work: extend dbt models where needed, help stand up new data pipelines.
• Partner with senior stakeholders, including the Chief Strategy Officer, Head of Revenue, and other executive leads to understand their data questions.
• Uphold data modeling best practices in the work you touch: clear documentation, version control via Git, incremental build strategies, and data quality validation.
• Identify gaps and inconsistencies in data and proactively surface them rather than papering over them.
• Leverage AI tools to accelerate both analytical and engineering work while applying rigorous critical evaluation to any AI-generated output.

• 4–6 years of professional experience in data analytics, analytics engineering, business intelligence, or a strategy‑adjacent analytics role.
• Strong command of SQL, comfortable writing complex queries involving window functions, CTEs, and multi‑table joins.
• Hands‑on experience with dbt or Palantir for data modeling.
• Comfort working with a modern cloud data warehouse.
• A demonstrable ability to communicate analytical findings to non‑technical executive audiences.
• The intellectual honesty to say “the data doesn’t fully answer this question, and here’s why”.
• Experience with a BI or visualization tool (Tableau, Power BI).
• A bachelor’s degree in a quantitative or analytical field, or equivalent professional experience.

Demonstrates expertise in data analytics and analytics engineering, with a strong command of SQL and experience in data modeling using dbt and Palantir. Capable of translating complex datasets into actionable insights for executive stakeholders while maintaining data quality and integrity.