Natera Is Hiring: Business Intelligence Analyst (Remote)

Natera, a genomics company focused on cell-free DNA testing across oncology, women's health, and organ health, is looking for a Business Intelligence Analyst to join its Patient Experience (PX) Data Science & Analytics team. The role sits at the intersection of data engineering and operational analytics, with a focus on reducing friction in patient-facing workflows. It's a fully remote position suited to early-career BI professionals who want hands-on experience with modern cloud data tooling and cross-functional stakeholder work. The team's output directly informs billing, call center, and communications operations.

What the role involves

The analyst will build and maintain SQL queries, data pipelines, and dashboards tailored to patient experience reporting needs. A significant portion of the work involves collaborating with senior BI engineers to develop patient journey visualization tools that capture touchpoints across billing, support, and communications channels. The role also includes performing data quality checks and troubleshooting to keep reporting accurate and reliable. Working alongside data scientists, the analyst will help integrate AI-driven outputs into existing BI workflows. Additional responsibilities include supporting A/B test measurement by maintaining relevant data extracts and dashboards, and contributing to documentation and governance standards for PX reporting processes.

What they're looking for

Natera is targeting candidates with a foundational background in BI or data analytics and practical experience with SQL and at least one major BI platform.

• 1–3 years of experience in BI, data analytics, or a closely related field
• Strong SQL skills and comfort querying relational databases
• Hands-on experience with Tableau, QuickSight, Power BI, or a comparable BI tool
• Familiarity with data modeling concepts such as star schema or snowflake schema
• Working knowledge of A/B testing concepts and how to support measurement and analysis
• Ability to communicate data findings clearly to non-technical audiences
• Attention to detail and a methodical approach to data quality
• Preferred: exposure to patient journey analytics, healthcare operations, or customer experience data
• Preferred: experience with Python, dbt, or ETL frameworks for data transformation
• Preferred: familiarity with Snowflake or the AWS data ecosystem

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