Role & Responsibilities Overview:
- Emphasis is on providing business insights and managing end to end project delivery
- Structure analytical solution to address business objectives and problem solving
- Expected to work in close collaboration with the Client team and EXL team on establishing relationship with stakeholders, identify new opportunities, areas of growth
- · Analyze structured and unstructured data from a number of drivers in the interest of solving specific questions/problems with processes in the various functional areas
- · Hands on experience in data analytics tools like, SQL, SAS and Python and good knowledge in segmentation / advanced analytics / Machine learning / statistical / data mining / Text mining techniques
- · Should have experience of using visualization tools like PowerBI
- Develop long-lasting, trusted advisor relationships with clients
- Provide Project, Client & Team Management and Monitor progress of deliverables on daily basis and ensures timely resolution of any issues
- Ensure Industry best practices are followed, Communicate and follow up with delivery team
- Identifying reasons for issues/Issue Resolution, diagnosis of inefficiencies in the current process and figuring out ways to resolve it
- Independently work across data manipulation, visualization, predictive modeling, Reporting and Automation projects
- Facilitate client working sessions and lead recurring project status meetings
- Manage day-to-day project operations, serve as the functional and domain expert on the project team to ensure that they meet client expectations
Candidate Profile:
- Bachelor’s/Master's degree in economics, mathematics, computer science/engineering, operations research or related analytics areas; candidates with BA/BS degrees in the same fields from the top tier academic institutions are also welcome to apply
- 2 - 8 years in data science / machine learning and data analytics
- exposure to insurance analytics
- HR Analytics, Adhoc data analysis to solve business problems
- Complete understanding and demonstrated experience of SQL, SAS, Python, and various modeling techniques is must
- Good critical thinking and problem solving skills
- Strong record of achievement, solid analytical ability, and an entrepreneurial hands-on approach to work
- Outstanding written and verbal communication skills, and presentation skills
- Should be proactive, and be able to work in fast pace and continuously evolving environment and ready to take up uphill challenges
- Is able to understand cross cultural differences and can work with clients across the globe