• Perform ad hoc analysis to determine identify trends and underlying root causes across 8am’s product ecosystem • Work with Data Engineering to automate data transformations based on findings • Work cross-functionally with other teams like Finance, Accounting, Partnerships and Product to convert data into insights • Manage all steps of the data lifecycle (Collection, measurement, analysis, interpretation, presentation), provide qualitative and quantitative analysis and be able to present findings to stakeholders along with recommendations supported by rigorous analysis and statistics. • Translate and summarize data into formats that help stakeholders make decisions quickly • Develop rich, interactive visualizations to help stakeholders understand their area of the business and translate insights to data-driven decisions • Communicate insights clearly through written summaries, presentations, and data storytelling tailored to both technical and non-technical audiences • Analyze historical data, define best practices, and identify opportunities for optimization. • Gather Data from Internal and External Sources as needed to provide the full view of problems or opportunities • Explore the data and discover patterns, meaningful relationships, anomalies and trends. • Handle multiple projects and meet deliverables

• Define, track, and report KPI’s across influencer campaigns including: Reach & impressions, Engagement rates, Conversion metrics (clicks, signups, purchases), Sentiment analysis, Earned media value (EMV), Cost per action (CPA) • Create dashboards and performance scorecards using tools like Looker, Tableau, or Power BI • Develop standardized methodologies for measuring influencer impact across consumer and HCP segments • Collaborate with digital and brand analytics teams to align influencer measurement with broader marketing attribution models • Integrate influencer performance data with other digital touchpoints (e.g., email, paid media, landing pages) for a holistic view of consumer engagement • Conduct trend analysis and audience profiling to guide influencer selection and content planning • Perform A/B testing and post-campaign analysis to identify content formats, channels, and messaging that perform best • Partner with the Director and influencer managers to turn insights into actionable strategy enhancements • Ensure accurate tracking of performance metrics in line with privacy standards and platform policies • Maintain a clean, auditable database of influencer content and outcomes • Work with consumer and HCP influencer managers to create custom briefs that include success benchmarks and analytics requirements • Provide regular reports and insights to stakeholders across marketing, legal, and executive teams • Contribute to budget planning and forecasting based on past campaign outcomes and predictive modeling

• Use SQL to query data in Snowflake. • Update Snowflake data models, consistent with current data architecture. • Use LookML to add new dimensions, measures, table calculations, and explores to Looker . • Create dashboards in Looker and Post Hog to support growth, enrollment marketing, client implementation, product initiatives, and/or company OKRs. • Conduct deep-dive analyses using data from Snowflake and Looker to understand user behavior patterns, identify friction points in the user journey, and uncover opportunities for product enhancement. Analyses may include, but are not limited to, descriptive analytics, correlation, regression, and between-group analyses. • Present the results of these analyses to a cross-functional audience, translating complex data findings into actionable recommendations. • Build externally-facing reports that provide stakeholders with clear visibility into user engagement, and feature adoption, clinical outcomes, and recommendations for optimal product use. • Provide data to help justify and inform decision-making around A/B tests and experiments to validate product hypotheses and measure the impact of new features or changes. • Use DBT to build data models and add new data sources to Snowflake. • Assist with updating data dictionary and ERD. • Communicate proactively. During onboarding, you will meet 3-5x/week with your supervisor to provide updates on ticket status and to ask questions. Asking questions outside of these meetings is expected and welcomed. • Work with your supervisor and relevant stakeholders to proactively discuss requirements when questions arise.

• Manipular, limpar e transformar grandes volumes de dados, garantindo a qualidade e integridade dos mesmos; • Realizar análises exploratórias e extrair insights a partir de dados estruturados e não estruturados; • Colaborar com equipes multidisciplinares para compreender os requisitos de negócios e traduzir em soluções técnicas. • Desenvolver pipelines de dados e fluxos de trabalho otimizados para automação e escalabilidade; • Criar e implementar algoritmos avançados para análises preditivas, considerando variáveis de acordo com as regras de negócios; • Apresentar resultados e insights de forma clara para stakeholders internos e externos; • Desenvolver, treinar e implementar modelos de Machine Learning para resolver problemas reais de negócio; • Manter-se atualizado com as tendências e avanços na área de ciência de dados e Machine Learning.