- Lead delivery for 10-15 data & visualization analysts. Role would involve working closely with the clients to understand their strategic priorities, identifying better solution, estimating the efforts required, managing and building the team for the project, and ensuring high delivery standards.
- Data Extraction, Cleansing and Manipulation – Handle large volume of data, research for variables and work with structured/unstructured data.
- Develop and optimize data pipelines and analytical models using SQL, PowerBI.
- Process Documentation – Maintain clear, concise documentation of in-line procedures to support consistency and knowledge transfer.
- Participate in various other analytics projects and work on ad-hoc requests relating to data extractions and visualizations as per the client need
- Predictive Modelling – Development of models using appropriate predictive analytics techniques
- Mentor and guide team members, fostering a culture of innovation and continuous learning.
- Development dashboards containing tracking and monitoring KPIs
- We are also looking for a go getter person who can define:
- Analytic strategies to meet the demands of business requirements
- Technical requirements of the analytic solutions
- Data requirements of the analytic solution processes
- The person will lead data analyst team for a major insurance client and will serve as the SME/Lead for analytics, working closely with various stakeholders
- Engages in technical problem solving across multiple technologies; often needs to develop new solutions A typical workday will involve collaborating with stakeholders while functioning in a Team Lead capacity
- A suitable candidate should have 7-12 years of experience in a similar role and should possess a go -getter attitude. He/ She should be able to deal with ambiguity
Experience in insurance preferred but not mandatory.
Responsibilities- Lead delivery for 10-15 data & visualization analysts. Role would involve working closely with the clients to understand their strategic priorities, identifying better solution, estimating the efforts required, managing and building the team for the project, and ensuring high delivery standards.
- Data Extraction, Cleansing and Manipulation – Handle large volume of data, research for variables and work with structured/unstructured data.
- Develop and optimize data pipelines and analytical models using SQL, PowerBI.
- Process Documentation – Maintain clear, concise documentation of in-line procedures to support consistency and knowledge transfer.
- Participate in various other analytics projects and work on ad-hoc requests relating to data extractions and visualizations as per the client need
- Predictive Modelling – Development of models using appropriate predictive analytics techniques
- Mentor and guide team members, fostering a culture of innovation and continuous learning.
- Development dashboards containing tracking and monitoring KPIs
- We are also looking for a go getter person who can define:
- Analytic strategies to meet the demands of business requirements
- Technical requirements of the analytic solutions
- Data requirements of the analytic solution processes
- The person will lead data analyst team for a major insurance client and will serve as the SME/Lead for analytics, working closely with various stakeholders
- Engages in technical problem solving across multiple technologies; often needs to develop new solutions A typical workday will involve collaborating with stakeholders while functioning in a Team Lead capacity
- A suitable candidate should have 7-12 years of experience in a similar role and should possess a go -getter attitude. He/ She should be able to deal with ambiguity
Experience in insurance preferred but not mandatory.
Qualifications- Academic Background in Science (Mathematics, Physics, Engineering, Statistics, Economics, Actuarial Science etc.)
- Strong IT skills - Hands on experience in Data Analysis and Data Preparation tools like SAS, Python, Pyspark, SQL and good knowledge in advanced analytics / Machine learning / statistical / data mining / Text mining techniques in Regression or classification
- Good knowledge of PowerBI, Teradata & Snowflake.
- Experience in P&C Insurance Industry is preferable
- Deep understanding of Analytics
- Strong communicator and team player. Should have experience in client interactions.
- Experience in working in a multi-cultural environment
- Questions existing processes, suggests improvements
- Ability to prioritize and manage multiple projects simultaneously
Skills Required
- 7-12 years of experience in analytics/business intelligence or similar role
- Academic background in Mathematics, Physics, Engineering, Statistics, Economics or Actuarial Science
- Hands-on experience with SQL
- Hands-on experience with PowerBI
- Hands-on experience with SAS
- Hands-on experience with Python and PySpark
- Knowledge of Teradata and Snowflake
- Experience building and optimizing data pipelines and analytical models
- Experience in predictive modeling and machine learning techniques (regression, classification, text mining, data mining)
- Proven team leadership/people management experience (leading ~10-15 analysts)
- Strong communication skills and experience with client interactions
- Experience in P&C insurance industry
- Ability to prioritize and manage multiple projects simultaneously
- Experience working in multi-cultural environments
What We Do
Choosing a digital partner is about more than capabilities — it’s about collaboration and character. Unrealistic overhauls and off-the-shelf products ignore what matters most — your unique needs, culture, goals, and your legacy data and technology environments. At EXL, our collaboration is built on ongoing listening and learning to adapt our methodologies. We’re your business evolution partner—tailoring solutions that make the most of data to make better business decisions and drive more intelligence into your increasingly digital operations. Whether your goals are scaling the use of AI and digital, redesign operating models, or driving better and faster decisions, we’re here to partner with you to help you gain—and maintain—competitive advantage with efficient, sustainable models at scale. Our expertise in transformation, data science, and change management helps make your business more efficient and effective, improve customer relationships and enhance revenue growth. Instead of focusing on multi-year, resource- and time-intensive platform designs or migrations, we look deeper at your entire value chain to integrate strategies with impact. We use our specialization in analytics, digital interventions, and operations management—alongside deep industry expertise — to deliver solutions that help you outperform the competition. At EXL, it’s all about outcomes—your outcomes—and delivering success on your terms. Share your goals with us and together, we’ll optimize how you leverage data to drive your business forward. For more information, visit www.exlservice.com.
