Analytics Manager

Role Overview: You will be working from the office, focusing on monitoring business performance and operations. As part of the Analytics team, you will be responsible for problem-solving using various analytics techniques to meet client savings targets. You will collaborate with different teams, serving as both the R&D and operational excellence team, to discover new patterns through state-of-the-art technologies. Your role will involve designing data-driven solutions, driving business metrics for top-line growth and profitability, performing quantitative and qualitative analyses, developing descriptive to prescriptive analytics, translating data insights for business stakeholders, and applying next-gen technologies throughout the analytics lifecycle. Additionally, you will be managing a small team of data analysts. Key Responsibilities: - Solve business problems by applying analytics techniques - Collaborate with different teams to meet client savings targets - Design data-driven solutions and drive business metrics for growth and profitability - Perform quantitative and qualitative analyses - Develop descriptive to prescriptive analytics - Translate data insights for business stakeholders - Apply next-gen technologies throughout the analytics lifecycle - Manage a small team of data analysts Qualifications Required: - Minimum 7 years of experience in strategy and business optimization - Post-graduate or MBA degree preferred - Experience in the healthcare industry preferred - Strong experience in analytics using SQL, SAS, Python, and basic statistical concepts - Ability to translate and structure business problems into technical solutions - Proven experience in a fast-paced environment - Collaborative and team-oriented approach - Strong desire to work in a fast-paced environment Additional Details: The company's ecosystem includes massive data assets, tech investments in platforms like On-prem GPUs, Azure, AWS, Databricks, and On-prem Hadoop-Hive environments. There is a leadership push towards digitization, data-led decision-making, and AI. The Analytics team comprises data enthusiasts, decision scientists, and business/subject matter experts.,