Senior Data Analyst

Natera; San Carlos (AZ); Hybride; USD 104 000 - 129 000; Plein temps

Avantages offerts par ce poste

Medical benefits

Dental insurance

Vision insurance

Life insurance

Disability insurance

Fertility care benefits

Pregnancy and baby bonding leave

401k benefits

Commuter benefits

Employee referral program

Résumé du poste

Natera is seeking a Hybrid Senior Data Analyst to design and build a modern R&D analytics platform to replace legacy reporting. You will architect an analytics system, enable self-service data tooling, and leverage AI assistants to accelerate development.

You will work with Python and SQL to model multi-source data, optimize pipelines, and deliver automated KPI workflows for R&D decision-making. This role is hybrid in San Carlos, CA with strong collaboration across technical and non-technical

Qualifications

• 2+ years experience in data analysis, analytics engineering, or software/data platform development.
• Experience with AI developer assistants (Claude Code, Gemini, GitHub Copilot) to boost productivity.
• Strong ability to verify and fine-tune data workflows, queries and automated outputs.
• Proficiency in Python for data analysis, pipeline development, and prototyping.

Responsabilités

• Architect and build a new R&D analytics platform for modern reporting needs.
• Prototype scalable analytics solutions and self-service data tooling.
• Use AI development tools to accelerate coding and automate repetitive tasks.
• Review, debug, and validate code and analytics logic for correctness, security, and efficiency.
• Extract, clean, transform, and model multi-source R&D data.
• Write and optimize high-performance SQL; collaborate with Data Engineers to improve scalability.
• Translate requirements into automated KPI workflows and modern analytics interfaces.
• Collaborate with cross-functional R&D stakeholders to define analytics needs.

Connaissances

Python

SQL

Claude Code

Gemini

GitHub Copilot

Data analysis

Outils

Snowflake

dbt

Streamlit

Dash

Gradio

Linux/Unix

Description du poste

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