
501 - 1000 employees
Founded 2014
⚕️ Healthcare Insurance
🧘 Wellness
☁️ SaaS
Healthcare Insurance • Wellness • SaaS
Vida Health is a company committed to improving health outcomes for various physical and mental health conditions, including diabetes, obesity, depression, and hypertension. They offer personalized, human-led care combined with digital technology to manage and treat these complex conditions. Vida Health partners with employers, health plans, and consultants to provide comprehensive health solutions. Their services include video chats and text-based messaging with healthcare providers, and they utilize machine learning and synced devices to personalize member care. They focus on significant cost savings and improved health outcomes for cardiometabolic conditions, guaranteeing results and offering up to 100% of fees at risk for both physical and mental healthcare.
🔥 0 minutes ago
🇺🇸 United States – Remote
💵 $110k - $115k / year
⏰ Full Time
🟠 Senior
📈 Growth Marketing
🦅 H1B Visa Sponsor
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501 - 1000 employees
Founded 2014
⚕️ Healthcare Insurance
🧘 Wellness
☁️ SaaS
Healthcare Insurance • Wellness • SaaS
Vida Health is a company committed to improving health outcomes for various physical and mental health conditions, including diabetes, obesity, depression, and hypertension. They offer personalized, human-led care combined with digital technology to manage and treat these complex conditions. Vida Health partners with employers, health plans, and consultants to provide comprehensive health solutions. Their services include video chats and text-based messaging with healthcare providers, and they utilize machine learning and synced devices to personalize member care. They focus on significant cost savings and improved health outcomes for cardiometabolic conditions, guaranteeing results and offering up to 100% of fees at risk for both physical and mental healthcare.
• 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.
• 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.
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