The opportunity
This will be a hybrid role (1 day a week) working out of our San Carlos, CA location.
What you'll do
Platform Design & Rapid Prototyping: Lead the effort in architecting, iterating, and building out a new R&D analytics platform. Rapidly prototype scalable analytics solutions and modern self-service data tools
AI-Accelerated Development & Rigorous Validation: Proactively utilize advanced AI tools (including Claude Code, Gemini, and coding assistants) to accelerate development cycles, automate repetitive coding tasks, and speed up platform prototyping. Thoroughly review, debug, unit-test, and validate all generated code and analytics logic for correctness, security, and efficiency
Data Pipeline & SQL Engineering: Extract, clean, transform, and model complex multi-source R&D data. Develop and optimize high-performance custom SQL queries and partner with Data Engineers to enhance database scalability and platform performance
Analytics & Insight Generation: Translate operational requirements into actionable insights, automated KPI workflows, and modern analytics interfaces that directly drive R&D decision-making and continuous process improvement
Stakeholder Collaboration: Partner closely with cross-functional R&D stakeholders and operational teams to understand workflows, define analytics requirements, and deliver robust data tools
Data Quality & Governance: Establish validation frameworks, automated monitoring, and data integrity checks to guarantee absolute accuracy and consistency across all analytics platform outputs
What they're looking for
- Experience: 2+ years of experience in data analysis, analytics engineering,: or software/data platform development
- AI Tooling Proficiency: High comfort level and practical experience using modern AI developer assistants (e.g., Claude Code, Gemini, GitHub Copilot) to augment coding productivity and rapid iteration
- Analytical Rigor & Data Validation: Strong analytical intuition and critical thinking skills, with a proven ability to independently evaluate, verify, and fine-tune data workflows, queries, and automated outputs to maintain high standards of quality and accuracy
- Python Proficiency: Advanced proficiency in Python for data analysis, pipeline development, and platform prototyping
