Senior Growth Analyst, Vida Health

• This role is ideal for someone who thrives at the intersection of member engagement analytics, experimentation, and SQL-driven analysis—and wants to directly improve the member experience at scale
• Bachelors degree at a minimum
• 3-5+ years of experience in member/customer engagement analytics, marketing analytics, or a related quantitative role
• Proven experience building dashboards and reporting in Looker (or a comparable BI tool such as Tableau or Power BI), including working with Explores to enable self-serve analytics for stakeholders
• Working understanding of production SQL, including how DBT ETL models feed and interact with downstream systems like Braze & Looker
• Experience with attribution and revenue recognition analytics
• Proven experience writing SQL to analyze data in BigQuery or a similar relational database
• Fluency with AI-based analytics and coding tools (e.g., Claude, Claude Code) to accelerate query writing, analysis, and reporting, having used them to scale output while validating results for accuracy
• Comfortable designing and interpreting experiments and A/B tests
• Strong communication skills—able to translate analysis into clear recommendations for non-technical partners

Desirable

• Vida Health is seeking a Senior Growth Analyst to join our Business Intelligence and Healthcare Analytics team (BIHA) and lead analytics focused on revenue recognition and member engagement at Vida Health
• In this role, you will measure how members engage across their lifecycle (both pre- and post-enrollment with Vida), partner closely with the Member Operations & Revenue Realization teams to surface what's working and where members fall through the cracks, and turn that understanding into sharper targeting, timing, and intervention decisions. A core part of the role is connecting our communication and intervention strategy to actual member behavior
• In this role, you will develop and maintain Braze attributes, which includes defining, building, and validating the custom attributes and event structures that power lifecycle segmentation and personalization
• Your work in our data warehouse will require joining member engagement activity with campaign and engagement-platform data for reporting in Looker, where you'll build the dashboards and reporting that make those insights visible and actionable, and in the Braze dashboard, where lifecycle communications are built and delivered
• You will lead marketing attribution analysis, measuring how channels, campaigns, and touchpoints drive member acquisition and engagement to inform spend and strategy
• You will need a working understanding of production SQL and how our DBT ETL feeds and interacts with Braze and Looker, so you can reason about data flow, validate what's landing where, and trust the numbers behind your analysis
• You will partner closely with other analysts on the team, member operations, and marketing and data stakeholders
• Develop and maintain Braze attributes. This includes defining, building, and validating custom attributes and event structures that enable lifecycle segmentation, targeting, and personalization across communications
• Own marketing attribution analysis, such as measuring how channels, campaigns, and touchpoints contribute to member acquisition and engagement, and translating findings into recommendations on spend, targeting, and channel mix
• Own member engagement analytics, measuring how members engage across their lifecycle, identifying drop-off and opportunity, and delivering insights that inform engagement strategy and operations optimization
• Build and maintain Looker dashboards and reporting that track member engagement, channel effectiveness, and lifecycle outcomes—turning recurring questions into self-serve reporting that member operations and marketing partners can act on
• Partner with Member Operations & Marketing as their analytics counterpart, translating questions about member behavior into analysis and clear, actionable recommendations
• Operate as a proactive analytics partner—anticipating the questions Member Operations and Marketing will ask and surfacing insights before they're requested, rather than waiting on ad-hoc asks
• Apply a working understanding of production SQL and our DBT ETL to reason about how data flows into and interacts with Braze and Looker—validating custom attributes and events, flagging discrepancies, and partnering with data teams to resolve issues
• Design, run, and analyze A/B tests and experiments, translating results into recommendations for member operations and marketing partners
• Other responsibilities as assigned