Hybrid Senior Data Analyst role focused on designing and building a modern R&D AI analytics platform to replace legacy reporting.

Architect, iterate, and build a new R&D analytics platform for modern reporting needs
Prototype scalable analytics solutions and self-service data tooling to support faster iteration
Use advanced AI development tools (including Claude Code, Gemini, and coding assistants) to accelerate development and automate repetitive coding tasks
Review, debug, unit-test, and validate generated code and analytics logic for correctness, security, and efficiency
Extract, clean, transform, and model complex multi-source R&D data
Write and optimize high-performance custom SQL; partner with Data Engineers to improve database scalability and platform performance
Translate operational requirements into actionable outputs, including automated KPI workflows and modern analytics interfaces that support R&D decision-making and continuous process improvement
Collaborate with cross-functional R&D stakeholders and operational teams to define analytics requirements and deliver robust data tools
Build validation frameworks, automated monitoring, and data integrity checks to maintain accuracy and consistency across platform outputs

2+ years of experience in data analysis, analytics engineering, or software/data platform development
Practical experience with modern AI developer assistants (e.g., Claude Code, Gemini, GitHub Copilot) to increase coding productivity and speed iteration
Strong analytical thinking with the ability to independently evaluate, verify, and fine-tune data workflows, queries, and automated outputs
Advanced proficiency in Python for data analysis, pipeline development, and platform prototyping
Strong expertise writing, optimizing, and maintaining complex custom SQL queries
Commitment to clean, modular, reproducible, and well-documented code using Git for version control
Ability to work in a fast-paced iterative environment, including independent troubleshooting of complex technical and data problems
Strong written and verbal communication skills for collaboration across technical and non-technical teams

Comprehensive medical, dental, vision, life and disability plans for eligible employees and their dependents
Free testing for Natera employees and their immediate families
Fertility care benefits
Pregnancy and baby bonding leave
401k benefits
Commuter benefits
Generous employee referral program

Experience with modern cloud data warehouses (e.g., Snowflake) and analytics engineering tools (e.g., dbt)
Experience building custom web-based data applications or internal tools (e.g., Streamlit, Dash, Gradio, or web frameworks)
Domain knowledge in molecular biology, biochemistry, bioinformatics, operations research, or related biotech fields
Proficiency in a Linux/Unix environment

Senior Data Analyst

Job Description