Data Analyst II

📋 Description

• Own Kepler data end-to-end, delivering accuracy and client value.
• Build expertise in proprietary datasets and methodologies.
• QA data pipelines and prototype enhancements with cross-team input.
• Collaborate with Research, Engineering, and Product teams.
• Use AI tools to accelerate analyses and automate workflows.
• Address complex data questions and explain anomalies and trends.

🎯 Requirements

• 4-6+ years in data analytics; background in finance, consulting, data science, or tech.
• Expert SQL; Python or PySpark; build reusable analysis workflows.
• Proven ability to learn complex data methodologies quickly.
• Led complex, ambiguous projects with multiple stakeholders; ownership.
• Clear communication of methodology, risks, and tradeoffs.
• Active use of AI tools; eager to leverage AI to drive results.

🎁 Benefits

• Flexible hours and vacation.
• Generous 401K match and parental leave.
• Team events and wellness budget.
• Learning reimbursement and growth opportunities.