Senior Data Analyst

Natera; San Carlos (CA); Hybrid; USD 104,000 - 129,000; Full time

Benefits offered by this job

Medical plans

Free testing

Fertility care

Parental leave

401k

Commuter benefits

Referral program

Job summary

DataJobs in San Carlos, CA is seeking a Hybrid Senior Data Analyst to design and build a modern R&D analytics platform for replacing legacy reporting. The role emphasizes AI-assisted coding, multi-source data modeling, and robust data integrity checks.

Responsibilities include architecting the analytics platform, prototyping self-service tools, and collaborating with cross-functional teams to deliver automated KPI workflows and high-performance SQL solutions.

Qualifications

• 2+ years of experience in data analysis, analytics engineering, or software/data platform development.
• Experience with AI developer assistants (Claude Code, Gemini, GitHub Copilot) to boost coding productivity.
• Strong ability to evaluate, verify, and optimize data workflows, queries, and automated outputs.
• Proficiency in Python for data analysis, pipeline development, and platform prototyping.
• Strong expertise writing, optimizing, and maintaining complex SQL queries.
• Version control with Git.
• Ability to troubleshoot complex technical and data problems in a fast-paced environment.
• Strong written and verbal communication across technical and non-technical teams.

Responsibilities

• 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 AI development tools 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 multi-source R&D data.
• Write and optimize high-performance custom SQL; partner with Data Engineers to improve scalability.
• Translate operational requirements into automated KPI workflows and analytics interfaces.
• Collaborate with cross-functional R&D stakeholders to define analytics requirements and deliver data tools.
• Build validation frameworks, automated monitoring, and data integrity checks.

Skills

Analytical thinking

Problem solving

Communication

Independent troubleshooting

Team collaboration

Tools

Claude Code

Gemini

GitHub Copilot

Snowflake

dbt

Streamlit

Dash

Gradio

Job description

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

Responsibilities

• 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

Requirements

• 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

Technologies

• Python, SQL, Claude Code, Gemini, GitHub Copilot
• Git, Snowflake, dbt, Streamlit, Dash, Gradio
• Linux/Unix, web frameworks

Benefits

• 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

Location

• San Carlos, CA 94070 (hybrid)
• 1 day per week working from the San Carlos location

Salary

• USD 103,600 - 129,450 per year

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