.**EXL (NASDAQ**: EXLS) is a leading operations management and analytics company that helps businesses enhance growth and profitability in the face of relentless competition and continuous disruption. Using our proprietary, award-winning Business EXLerator Framework, which integrates analytics, automation, benchmarking, BPO, consulting, industry best practices and technology platforms, we look deeper to help companies improve global operations, enhance data-driven insights, increase customer satisfaction, and manage risk and compliance. EXL serves the insurance, healthcare, banking and financial services, utilities, travel, transportation and logistics industries. Headquartered in New York, New York, EXL has more than 40,000 professionals in locations throughout the United States, Europe, Asia (primarily India and Philippines), Latin America (Mexico City and Bogota), Australia and South Africa.EXL Analytics provides data-driven, action-oriented solutions to business problems through statistical data mining, cutting-edge analytics techniques and a consultative approach. Leveraging proprietary methodology and best-of-breed technology, EXL Analytics takes an industry-specific approach to transform our clients' decision-making and embed analytics more deeply into their business processes. Our global footprint of nearly 4,000 data scientists and analysts assist client organizations with complex risk minimization methods, advanced marketing, pricing and CRM strategies, internal cost analysis, and cost and resource optimization within the organization. EXL Analytics serves the insurance, healthcare, banking, capital markets, utilities, retail and e-commerce, travel, transportation and logistics industries.**Role & Responsibilities Overview**:- Play a crucial role in implementing, improving and maintaining SQL/SAS and Power BI-based solutions:- Partner with product analysts, data scientists, business users, clients and others to understand their needs and come up with an end-to-end solution- Translate business requirements to actionable data tasks o Design and develop scalable turn-key ETL pipelines- Strong knowledge of RDBMS & Data Warehousing concepts
