Data Analyst Jobs

About The Position

Requirements

• 4–6 years of professional experience in data analytics, analytics engineering, business intelligence, or a strategy-adjacent analytics role.
• Strong command of SQL you are comfortable writing complex queries involving window functions, CTEs, and multi-table joins, and you can read and debug queries you didn't write.
• Hands-on experience with dbt or Palantir for data modeling — you understand the mechanics of models, tests, documentation, and incremental materialization strategies — or equivalent data modeling experience in another modern data warehouse environment.
• Comfort working with a modern cloud data warehouse.
• A demonstrable ability to communicate analytical findings to non-technical executive audiences — in writing, in decks, and in conversation.
• The intellectual honesty to say 'the data doesn't fully answer this question, and here's why' and to make that observation useful rather than deflating.
• Experience with a BI or visualization tool (Tableau, Power BI).
• A genuine interest in learning Palantir Foundry and the intellectual openness to develop deep expertise as part of your growth on the team.
• Comfort operating in ambiguity with a small, fast-moving team where the scope of your role will evolve as the function matures.
• A skeptic's relationship with AI tools — you use them, you benefit from them, but you verify their outputs rather than accepting them at face value.
• A bachelor's degree in a quantitative or analytical field, or equivalent professional experience.

Nice To Haves

• Direct experience with Palantir Foundry, even tangential exposure is valued.
• Python proficiency, particularly for data transformation, pipeline orchestration, or scripting.
• Exposure to insurance, financial services, or other complex B2B commercial environments.
• Prior experience presenting findings directly to senior leadership audiences.
• Exposure to agile development practices, Git-based workflows, and project tracking tools like Jira.

Responsibilities

• Translate complex, multi-source datasets into concise executive narratives that communicate not just findings but implications and data limitations — giving leadership the context to act with confidence.
• Develop and maintain analytical deliverables including executive-facing presentations, insight memos, and self-service dashboards, calibrating the format to the audience and urgency of the question.
• 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, and shape how Palantir Foundry is used to surface insights across the team.
• Partner with senior stakeholders, including the Chief Strategy Officer, Head of Revenue, and other executive leads to understand their data questions, pressure-test assumptions, and deliver analysis that earns trust.
• 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 — intellectual honesty is a core expectation of this role.
• Leverage AI tools (Claude, Palantir AI FDE, Gemini, and others) to accelerate both analytical and engineering work, while applying rigorous critical evaluation to any AI-generated output before it informs a business decision or ships to production.

Benefits

• Competitive compensation
• Generous vacation policy, paid holidays, and paid sick time
• Medical, Dental, and Vision Insurance (employee-paid)
• Company-paid Short-Term and Long-Term Disability Insurance
• Company-paid Group Life insurance
• Company-paid Employee Assistance Program (EAP) and Calm App subscription
• Employee-paid Pet Insurance and optional supplemental insurance coverage
• Vested 401(k) with company match and financial wellness programs
• FSA, HSA, and commuter benefits options
• Paid maternity leave, paid paternity leave, and fertility benefits
• Career growth and learning opportunities