Senior Data Analyst, Clinical & Commercial Analytics

Beta Bionics, Inc.•San Diego, CA

2d•$110,000 - $150,000•Onsite

About The Position

Beta Bionics, Inc. is a medical technology company dedicated to bringing innovative type 1 diabetes management solutions to the many, not the few. We are committed to bringing better access to better solutions – and a better life for those living with diabetes – with the world’s first bionic pancreas called the iLet. The iLet Bionic Pancreas is the first and only insulin delivery system that does not require carb counting, bolusing, correction factors, or pre-set basal rates. The only number needed to get started with the iLet Bionic Pancreas is a user’s weight – the iLet does the rest. The iLet lets users “Go Bionic” with their diabetes management. Successful candidates will be working with highly experienced colleagues, who are amongst the best in their fields. We have a mission-driven, passionate and collaborative culture where you will have a high degree of empowerment and opportunity to make a significant impact. Please contact us if you fit the profile below and if you are interested in joining the Beta Bionics team! User must be carb aware. Location - San Diego, CA. This is an on-site/in-person role. Summary/Objective The Senior Data Analyst, Clinical & Commercial Analytics is a highly accountable, hands-on analytics leader responsible for delivering timely, high-impact insights to support Commercial and Medical Affairs teams. This role owns analytics intake, prioritization, execution, and stakeholder communication across multiple competing demands. The ideal candidate is a strong technical analyst who thrives in an environment with real delivery pressure, is comfortable pushing back and negotiating priorities, and consistently turns complex clinical, device, and commercial data into clear, actionable answers. This role personally performs most analyses end-to-end, while collaborating closely with Data Science and Cloud Engineering teams to ensure consistency, reuse of validated methods, and scalable analytics where appropriate. This is not a research or publication-focused role. Success is measured by impact, velocity, clarity, and trust with stakeholders.

Requirements

Bachelor’s degree in a quantitative, technical, or life sciences field.
5+ years of hands-on experience performing data analysis in healthcare, medical devices, life sciences, or a related regulated environment.
Strong technical proficiency in Python, SQL, and Tableau.
Demonstrated ability to independently own analytics workstreams and deliver results under competing priorities.
Strong communication skills, with experience translating complex data into clear, actionable insights.
Proven track record of accountability, follow-through, and high personal output.

Nice To Haves

Strong background in diabetes, metabolic disease, or automated insulin delivery systems.
Experience working with real-world device data and outcomes analytics.
Experience analyzing or integrating CRM data (e.g., Salesforce) with clinical or product data.
Familiarity with JIRA or similar tools for managing work intake and delivery.
Experience collaborating with data science and engineering teams in a production analytics environment.
Comfort operating in a fast-paced, cross-functional environment with senior stakeholders.

Responsibilities

Own the full lifecycle of analytics requests across Commercial and Medical Affairs teams, from intake and prioritization through execution and delivery.
Personally perform end-to-end data analysis using Python, SQL, and Tableau across clinical, device (AID system), and commercial (Salesforce CRM) data sources.
Translate ambiguous or complex questions into well-defined, efficient analyses that deliver timely and credible answers.
Generate evidence and insights to support commercial, medical, safety, outcomes, sales, and marketing narratives (e.g., safety in specific use cases, outcomes in fully closed-loop usage, real-world performance).
Actively manage competing priorities between Commercial and Medical Affairs stakeholders.
Maintain a transparent, prioritized backlog of analytics work and delivery status using JIRA.
Communicate progress, tradeoffs, and delivery timelines clearly and proactively.
Push back on low-value or inefficient requests and help stakeholders reframe questions to obtain faster, simpler, or more appropriate answers.
Serve as a trusted analytics partner who balances scientific rigor with business urgency.
Use Python for data wrangling, analysis, and visualization, leveraging validated statistical libraries developed by the Data Science team.
Develop reproducible, well-documented analysis workflows that support consistency and reuse.
Collaborate with Data Science and Cloud Engineering teams to operationalize recurring analyses or metrics where appropriate (e.g., scheduled computation of key outcomes or usage metrics to enable scalable querying).
Build stakeholder-facing dashboards and visualizations in Tableau that clearly communicate findings to technical and non-technical audiences.
Ensure alignment with data governance, privacy (HIPAA), and internal standards.
Present findings clearly and confidently to Commercial, Medical Affairs, and cross-functional audiences.
Tailor messaging appropriately for scientific, clinical, and business stakeholders without compromising data integrity.
Establish credibility through clarity, responsiveness, and consistent delivery.