Senior Data Analyst, Strategic Health Analytics

About Us

Simple Practice is headquartered in Los Angeles, California, but we have team members who work and live across the United States, Dominican Republic, Mexico City, and Ukraine.

At Simple Practice, we are improving access to quality care by equipping health and wellness clinicians with all the tools they need to thrive in private practice.

More than 250,000 providers trust Simple Practice to build their business through our industry-leading software with powerful tools that simplify every part of practice management. From admin work to clinical care, our suite of innovative solutions work together to reduce administrative burden-empowering solo and small group practitioners to thrive alongside their clients.

Award-winning and people-first, Simple Practice is shaping the future of health tech. Recognized by Med Tech Breakthrough, the Digital Health Awards, Best Places to Code in Mexico and Built In's Best Places to Work.

At Simple Practice, culture is our foundation. It influences the way we work, how we serve our customers, and how we approach accomplishing our mission. We have five core values that we strive to embody every day:

• We think big
• We take simplicity seriously
• We come as we are
• We act with humility
• We are built on trust

Culture is everyone's responsibility  culture is what drives us to do better for our teammates and customers.

Connection and collaboration are also key to our success. You will work with our talented multi-national teams and have opportunities to participate in onsites in both the US and Mexico.

As a Sr. Data Analyst, Strategic Health Analytics, you will play a key role in supporting Clinical and Commercial business development through rigorous, evidence-based analysis. This role blends technical problem-solving with strategic thinking: shaping sound analytical approaches to ambiguous questions, executing analyses with rigor, and synthesizing findings into clear, decision-ready narratives for internal stakeholders and external-facing conversations.

This is a strong individual contributor role for someone who enjoys tackling complex business questions, identifying meaningful patterns in data, and translating analysis into actionable insight. You will also help make recurring analytical needs more scalable through reports, dashboards, models, and other self-serve solutions.

While prior healthcare domain experience is a plus, it is not required. We are looking for someone with strong analytical judgment, statistical fluency, and the ability to quickly build domain knowledge on the job.

• Partner with Clinical, Commercial, and Product stakeholders to identify core questions, translate them into clear analytical approaches and actionable answers
• Communicate credible, data-driven insights and recommendations clearly to technical and non-technical audiences
• Support customer, partner, and business development conversations with data-driven insights, thought partnership and accessible storytelling
• Analyze complex datasets using SQL, Tableau, and other analytical tools to uncover trends, evaluate opportunities, and inform strategic decisions
• Apply statistical and analytical methods to generate actionable insights across clinical, commercial, product, and market-related questions
• Identify recurring analytical needs and help turn them into scalable reports, dashboards, models, and self-serve tools where possible
• Build and maintain reliable analytical assets that integrate multiple data sources and improve accessibility, consistency, and trust in the data
• Mentor peers and contribute to a culture of rigor, curiosity, and strong analytical communication within the team

• 7+ years of experience in analytics, data analysis, research, or related quantitative roles
• Strong SQL skills and experience working with large, complex datasets
• Experience with Tableau or similar BI and visualization tools
• Proficiency in Python or a similar analytical programming language
• Strong analytical and statistical foundation, including experience with methods such as regression, hypothesis testing, experimentation, or related approaches
• Proven ability to take ambiguous questions, structure a sound analytical approach, and deliver clear, convincing insights
• Excellent verbal and written communication skills, with the ability to translate complex analysis into accessible narratives for a range of stakeholders
• Proven ability to manage multiple projects and work effectively across functions
• Interest in learning the healthcare domain and applying analytics to strategic healthcare questions

• Familiarity with the US healthcare ecosystem, including payer, reimbursement, utilization, or clinical performance concepts
• Experience supporting customer-facing, commercial, or partnership-oriented analytics
• Experience with dbt Cloud or similar tools
• Knowledge of ETL pipelines and data warehouse best pr