Data Analyst- Business Intelligence/Healthcare Analytics
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 the revenue operations- to translate member behavior into actionable strategies. This position offers direct collaboration with senior leadership and clear advancement opportunities. Experience in the telehealth/digital health space is highly valued.
Responsibilities:
ā¢ 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.
ā¢ Support client reporting, including dashboards, presentations and custom analyses that drive strategic recommendations.
ā¢ Build and maintain cohort behavior tracking, funnel analyses and member segmentation frameworks to monitor member behavior and success metrics.
ā¢ Design and develop intuitive Looker dashboards that enable the Client Success team to track client and member outcomes through self-service analytics.
ā¢ Provide clear, actionable insights to stakeholders through reports, presentations and ad hoc analyses.
ā¢ Develop comprehensive documentation and insights that empower teams to make data-driven decisions on spend, product roadmap and member experience optimization.
ā¢ Support analysis for product experiments and member journey optimization initiatives.
ā¢ Analyze product utilization patterns.
Qualifications:
ā¢ 1-3 years of experience in data analytics, product analytics, or marketing analytics roles.
ā¢ Strong SQL proficiency- ability to write clean, efficient queries for complex member behavior analysis.
ā¢ Looker expertise- hands-on experience building dashboards, explores and LookML models.
ā¢ Marketing & product analytics experience - deep understanding of marketing attribution, conversion funnels, cohort analysis, member lifecycle analytics and product engagement metrics.
ā¢ Experience with healthcare claims data, understanding of HIPAA compliance and PHI handling in digital health contexts.
ā¢ Product analytics fundamentals including event tracking, feature adoption analysis, user segmentation and retention modeling.
ā¢ Experience analyzing digital marketing platforms (Google Analytics, paid media platforms) and member engagement tools.
ā¢ Strong communication skills with ability to present member insights and marketing performance to cross-functional stakeholders.
ā¢ Experience working with product managers, marketing teams and technical teams to define metrics and tracking strategies.
Preferred:
ā¢ Bachelor's degree in Data Science, Statistics or related field.
ā¢ Familiarity with GCP services and BigQuery for large-scale member data analysis.
ā¢ Experience with cloud data warehouses (BigQuery, Snowflake, or similar).
ā¢ Experience with GitHub and version control for analytics code.
ā¢ Knowledge of data transformation tools (DBT preferred).
ā¢ Experience with customer engagement platforms (Braze, Iterable, or similar).
ā¢ Familiarity with product analytics tools (Amplitude, Mixpanel, or similar).
ā¢ Knowledge of data privacy regulations (HIPAA, GDPR) as they relate to marketing and member data.
ā¢ Experience building external-client facing decks with clear visuals and summary statistics.
Apply Now
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Responsibilities:
ā¢ 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.
ā¢ Support client reporting, including dashboards, presentations and custom analyses that drive strategic recommendations.
ā¢ Build and maintain cohort behavior tracking, funnel analyses and member segmentation frameworks to monitor member behavior and success metrics.
ā¢ Design and develop intuitive Looker dashboards that enable the Client Success team to track client and member outcomes through self-service analytics.
ā¢ Provide clear, actionable insights to stakeholders through reports, presentations and ad hoc analyses.
ā¢ Develop comprehensive documentation and insights that empower teams to make data-driven decisions on spend, product roadmap and member experience optimization.
ā¢ Support analysis for product experiments and member journey optimization initiatives.
ā¢ Analyze product utilization patterns.
Qualifications:
ā¢ 1-3 years of experience in data analytics, product analytics, or marketing analytics roles.
ā¢ Strong SQL proficiency- ability to write clean, efficient queries for complex member behavior analysis.
ā¢ Looker expertise- hands-on experience building dashboards, explores and LookML models.
ā¢ Marketing & product analytics experience - deep understanding of marketing attribution, conversion funnels, cohort analysis, member lifecycle analytics and product engagement metrics.
ā¢ Experience with healthcare claims data, understanding of HIPAA compliance and PHI handling in digital health contexts.
ā¢ Product analytics fundamentals including event tracking, feature adoption analysis, user segmentation and retention modeling.
ā¢ Experience analyzing digital marketing platforms (Google Analytics, paid media platforms) and member engagement tools.
ā¢ Strong communication skills with ability to present member insights and marketing performance to cross-functional stakeholders.
ā¢ Experience working with product managers, marketing teams and technical teams to define metrics and tracking strategies.
Preferred:
ā¢ Bachelor's degree in Data Science, Statistics or related field.
ā¢ Familiarity with GCP services and BigQuery for large-scale member data analysis.
ā¢ Experience with cloud data warehouses (BigQuery, Snowflake, or similar).
ā¢ Experience with GitHub and version control for analytics code.
ā¢ Knowledge of data transformation tools (DBT preferred).
ā¢ Experience with customer engagement platforms (Braze, Iterable, or similar).
ā¢ Familiarity with product analytics tools (Amplitude, Mixpanel, or similar).
ā¢ Knowledge of data privacy regulations (HIPAA, GDPR) as they relate to marketing and member data.
ā¢ Experience building external-client facing decks with clear visuals and summary statistics.
Apply Now
Apply Now