Description
Lead analytics initiatives that transform complex business problems into actionable insights through data analysis, self-service analytics, and AI-enabled solutions. Partner with business and technology stakeholders to drive data-driven decision making, build scalable analytics products, and accelerate the adoption of modern analytics and AI capabilities.
Responsibilities:
- Analytics Consulting & Business Partnership: Partner with business stakeholders to understand strategic objectives, analytical requirements, and success measures. Translate business challenges into analytical solutions and actionable recommendations. Serve as a trusted advisor for data-driven decision making.
- Data Analysis & Insight Generation: Develop a deep understanding of source systems, data flows, and business processes. Analyze large and complex datasets to identify trends, risks, opportunities, and performance drivers. Generate actionable insights that influence business strategy and operational improvements.
- AI-Enabled Analytics & Innovation: Leverage AI and Generative AI tools to enhance analytics workflows, accelerate insight generation, automate reporting, and improve decision-making processes. Identify and implement AI-driven use cases such as natural language querying, automated dashboard generation, anomaly detection, narrative insights, and conversational analytics.
- Self-Service Analytics & Dashboard Development: Design, develop, and maintain self-service dashboards and reporting solutions using Tableau. Enable business users with intuitive and scalable analytics solutions.
- Stakeholder Management: Collaborate closely with business, product, technology, and data engineering teams. Present findings, recommendations, and business impact stories to senior leadership.
- Team Leadership & Delivery: Mentor analysts and establish best practices for analytics, visualization, and storytelling. Drive high-quality project execution and timely delivery of analytics solutions. Foster innovation, continuous improvement, and AI adoption within the team.
Education:
- Bachelor's or master's degree in Computer Science, Statistics, Mathematics, Economics, Business Analytics, Data Science, Information Systems, or any related quantitative discipline.
Experience:
- 10–13 years of experience in Data Analytics, Business Intelligence, Reporting, or Analytics Consulting. Proven experience managing complex analytics projects and stakeholder relationships. Experience delivering enterprise-scale reporting, dashboarding, and insight-generation solutions.
Skills:
- Mandatory Skills: Advanced SQL, Tableau, Data Analysis & Business Intelligence, Stakeholder Management, Requirements Gathering & Documentation, Data Visualization & Storytelling
- Additional Technical Skills: Python, Power BI, Data Modeling and Reporting, Analytics Automation
- Good-to-Have Skills: Healthcare, Health Services, Insurance, or PBM domain experience, Hands-on experience applying AI/GenAI for insight generation and reporting, Experience with predictive analytics and machine learning, Agile delivery experience