Vida is seeking a motivated Data Analyst to join the Business Intelligence and Healthcare Analytics team. You will work closely with cross-functional teams- including Client Success, Clinical Operations, Marketing, Product and Revenue Operations to translate member behavior into actionable strategies.
Responsibilities:
Partner with cross-functional teams to translate business requirements into analytics solutions.Conduct in-depth analysis of member journey analytics, product adoption patterns, engagement metrics and clinical outcomes across the member lifecycle.Support client reporting, including dashboards, presentations and custom analyses that drive strategic recommendations.Build and maintain cohort behavior tracking, funnel analyses and member segmentation frameworks to monitor member behavior and success metrics.Design and develop intuitive Looker dashboards that enable the Client Success team to track client and member outcomes through self-service analytics.Provide clear, actionable insights to stakeholders through reports, presentations and ad hoc analyses.Develop comprehensive documentation and insights that empower teams to make data-driven decisions on spend, product roadmap and member experience optimization.Support analysis for product experiments and member journey optimization initiatives.Analyze product utilization patterns.
Qualifications:
Bachelor's degree in Data Science, Statistics or related field.2+ years of experience in data analytics, product analytics or marketing analytics roles.Strong SQL proficiency - ability to write clean, efficient queries for complex member behavior analysis.Looker expertise - hands-on experience building dashboards, explores and LookML models.Marketing & product analytics experience - deep understanding of marketing attribution, conversion funnels, cohort analysis, member lifecycle analytics and product engagement metrics.Product analytics fundamentals including event tracking, feature adoption analysis, user segmentation and retention modeling.Experience analyzing digital marketing platforms (Google Analytics, paid media platforms) and member engagement tools.Strong communication skills with ability to present member insights and marketing performance to cross-functional stakeholders.Experience working with product managers, marketing teams and technical teams to define metrics and tracking strategies.
Preferred:
Familiarity with GCP services and BigQuery for large-scale member data analysis.Experience with cloud data warehouses (BigQuery, Snowflake, or similar).Experience with GitHub and version control for analytics code.Experience with data transformation tools (DBT preferred).Experience with customer engagement platforms (Braze, Iterable, or similar).Familiarity with product analytics tools (Amplitude, Datadog, or similar).Knowledge of data privacy regulations (HIPAA, GDPR) as they relate to marketing and member data.Experience building external-client facing decks with clear visuals and summary statistics.