Senior Data Analyst

• →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

QUALIFICATIONS:

• →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
• →Advanced SQL Expertise: Strong expertise in writing, optimizing, and maintaining complex custom SQL queries
• →Engineering Best Practices: Strong commitment to writing clean, modular, reproducible, and well-documented code using version control (Git)
• →Agile Problem Solving: Ability to work in a fast-paced, iterative environment, independently troubleshooting complex technical and data challenges
• →Communication: Strong written and verbal communication skills to collaborate effectively across technical and non-technical teams

Nice to Haves: 

• →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

Natera™ is a global leader in cell-free DNA (cfDNA) testing, dedicated to oncology, women’s health, and organ health. Our aim is to make personalized genetic testing and diagnostics part of the standard of care to protect health and enable earlier and more targeted interventions that lead to longer, healthier lives.

The Natera team consists of highly dedicated statisticians, geneticists, doctors, laboratory scientists, business professionals, software engineers and many other professionals from world-class institutions, who care deeply for our work and each other. When you join Natera, you’ll work hard and grow quickly. Working alongside the elite of the industry, you’ll be stretched and challenged, and take pride in being part of a company that is changing the landscape of genetic disease management.