Role Description The Associate, Provider Data Analytics reviews provider data-related issues and scales solutions through impact analysis. We are looking for collaboration with business and technical stakeholders to represent departmental needs in company-wide strategic initiatives and problem-solving. Key responsibilities include: - Understanding business requirements - Building and managing project plans - Documenting decisions - Developing risk mitigation and change management strategies You will report into the Senior Manager, Provider Data Operations. Work Location: This is a remote position, open to candidates who reside in Dallas, Texas. You will be fully remote; however, our approach to work may adapt over time. Future models could potentially involve a hybrid presence at the hub office associated with your metro area. Pay Transparency: The base pay for this role is: $87,188.40 - $114,434.78 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program and annual performance bonuses. Responsibilities: - Leads end-to-end management of cross-functional projects related to provider data issues, including issue analysis, stakeholder engagement, coordination of cross-functional relationships to drive collaboration, and participation in testing to ensure accurate and effective solutions - Collaborates with internal and external stakeholder groups to develop proactive solution plans for data issues, including communication strategies and program initiatives for successful change management and risk mitigation - Identifies trends in provider data issues and scales solutions by leveraging various analytics to assess the overall impact - Compliance with all applicable laws and regulations - Other duties as assigned Qualifications - A bachelor's degree or 3+ years commensurate experience - 3+ years of work experience in operations, health insurance, data analysis, and/or consulting - 2+ years of experience using SQL and Excel - 2+ years of experience with end to end project management - 2+ years of experience in designing and improving workflows as well as standing up accompanying operating and technical procedures - 2+ years of experience with process improvement methodologies such as Lean, Six Sigma Requirements - Bonus points: Bachelor's degree in Engineering, Business Administration, or other related field - Lean Six Sigma Green Belt certification or higher Benefits - Medical, dental, and vision benefits - 11 paid holidays - Paid sick time - Paid parental leave - 401(k) plan participation - Life and disability insurance - Paid wellness time and reimbursements

• Analisar performance de mídia paga e comportamento do usuário • Gerar insights para otimização de campanhas e investimentos • Construir dashboards e relatórios executivos • Trabalhar com dados de múltiplas fontes (GA4, Databricks, mídia, etc.) • Apoiar decisões com foco em crescimento e eficiência.

• Develop and deliver recurring local and regional insights that surface meaningful trends, risks, and opportunities across markets. • Translate insights and questions raised into implications for the GII strategic plan, highlighting where focus, course correction, or deeper analysis is needed. • Frame analytical findings into clear “what / why / so what” narratives that directly support leadership decision-making and work with internal and external SME where need to answer those questions. • Partner with strategy and functional leaders to clarify priority questions that should inform planning, execution, and tradeoff discussions. • Produce executive-ready materials (briefs, slide decks, narratives) that support strategic conversations and alignment. • Maintain a forward-looking perspective by identifying emerging signals that may affect future performance or strategic assumptions. • Design and deliver ad hoc and recurring analyses that integrate multiple data sources into clear, defensible insights. • Manipulate and validate data to ensure accuracy, consistency, and appropriate interpretation prior to insight delivery. • Investigate performance drivers, anomalies, and patterns to move beyond descriptive reporting toward explanatory insight. • Apply strong analytical judgment when working with imperfect or incomplete data, clearly communicating limitations and assumptions. • Build clear, compelling visualizations and presentations that communicate insights to technical and non-technical audiences. • Intake and synthesize incoming data questions across the Data COE, identifying common themes and underlying root questions. • Reduce fragmented, one-off analysis by connecting related requests into broader focus areas worthy of deeper exploration. • Recommend where to prioritize deep dives versus lighter analysis based on strategic importance and decision value. • Convene and facilitate cross-functional working sessions with subject matter experts to interpret insights and pressure-test conclusions. • Translate discussions into clear next steps, owners, and follow-on questions to ensure insights lead to action. • Document insights and learnings so analysis compounds over time rather than being repeated or rediscovered. • Support urgent leadership requests with rapid-turn analysis and clear synthesis, while ensuring work connects back to larger strategic themes. • Provide occasional support for presentations, briefings, or workshops where insight translation and narrative clarity are needed. • Participate in internal meetings and planning sessions; contribute to team coordination and knowledge sharing. • Perform other duties as assigned.

• Realização de cruzamentos de tabelas para geração de informações e insights; • Análises de comportamento do cliente utilizando conhecimento estatístico; • Garantir a qualidade, consistência e integridade dos dados utilizados nas análises; • Desenvolver análises e relatórios interativos; • Desenvolvimento de dashboards para acompanhamento de KPIs; • Ciclo de vida do cliente: análise e insights para direcionar decisões do time; • Documentar processos, geração de dashboards e boas práticas, resultados de testes e mapeando a jornada do participante nos produtos no cliente;