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**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. Hands-on experience in SQL and SAS
- Create data model for BI/Analytics needs that will help the customer answer business questions for identified use case
- 2+ Years of relevant work experience in SAS and SQL
- Power Bi is good to have
- Working experience in the Insurance domain is good to have
- Experience in working in dual shore engagement and must have experience in managing clients directly
- Strong record of achievement, solid analytical ability, and a hands-on entrepreneurial approach to work
- Outstanding written and verbal communication skills
- Able to work in a fast pace, continuously evolving environment and ready to take up uphill challenges
- Can understand cross cultural differences and can work with clients across the globe

**What we offer**:

- EXL Analytics offers an exciting, fast-paced and innovative environment, which brings together a group of sharp and entrepreneurial professionals who are eager to influence business decisions. From your very first day, you get an opportunity to work closely with highly experienced, world-class analytics consultants.
- You can expect to learn many aspects of businesses that our clients engage in. You will also learn effective teamwork and time-management skills - key aspects for personal and professional growth.
- Analytics requires different skill sets at different levels within the organization. At EXL Analytics, we invest heavily in training you in all aspects of analytics as well as in leading analytical tools and techniques.
- We provide guidance/ coaching to every employee through our mentoring program wherein every junior-level employee is assigned a senior-level professional as an advisor.
- Sky is the limit for our team members. The unique experiences gathered at EXL Analytics sets the stage for further growth and development in our company and beyond.
- Top-notch benefits program for our employees.
- The work arrangement would be hybrid.