- Marketing Analytics Domain Understanding:
- Understanding of P&C insurance marketing/ Campaign working understanding
- Participate in moderately complex initiatives to deliver insights by converting the business problem into analytical format
- Programming, reporting the finding, using end results to contribute to large scale planning and process to create decision strategy
- Generate campaign and project performance reports with ability to understand marketing concept
- Data Analytics:
- Ability to do end to end programming in python/SAS to extract the results as required by the problem at hand.
- Review and analyze complex data aggregations
- Ability to self-check and QC the end results in line with changing requirements and modifications. well versed in EDA
- ML techniques:
- Knowledge of Modelling based on large set of variables from varied sources
- Understanding and working knowledge of statistical and Machine learning techniques
- Marketing Analytics Domain Understanding:
- Understanding of P&C insurance marketing/ Campaign working understanding
- Participate in moderately complex initiatives to deliver insights by converting the business problem into analytical format
- Programming, reporting the finding, using end results to contribute to large scale planning and process to create decision strategy
- Generate campaign and project performance reports with ability to understand marketing concept
- Data Analytics:
- Ability to do end to end programming in python/SAS to extract the results as required by the problem at hand.
- Review and analyze complex data aggregations
- Ability to self-check and QC the end results in line with changing requirements and modifications. well versed in EDA
- ML techniques:
- Knowledge of Modelling based on large set of variables from varied sources
- Understanding and working knowledge of statistical and Machine learning techniques
- Education: Master’s in Statistics/Economics/MBA, Engineering
- Experience: 0-3 years of experience Machine Learning, Data Modelling, Programming with SAS/Python.
Technical Skills: Python for data analytics and modeling, Machine Learning Techniques
Skills Required
- Master's in Statistics, Economics, MBA, or Engineering
- 0-3 years experience in machine learning, data modeling, and programming with SAS/Python
- Proficiency in Python for data analytics and modeling
- Proficiency in SAS for data extraction and analysis
- Experience with exploratory data analysis (EDA) and complex data aggregations
- Working knowledge of statistical and machine learning techniques
- Experience building models from large, varied data sources
- Understanding of P&C insurance marketing and campaign analytics
- Ability to self-check, QC results, and adapt analyses to changing requirements
- Ability to generate campaign and project performance reports and translate findings into business strategy
EXL Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about EXL and has not been reviewed or approved by EXL.
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Healthcare Strength — Medical plan options include HSA, HRA, and PPO choices, with additional health-related programs such as disability coverage and an employee assistance program. Feedback suggests these options provide meaningful flexibility and coverage breadth for many roles.
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Leave & Time Off Breadth — Up to 20 days of paid time off, plus federal holidays and paid sick and safe time, are highlighted. Feedback suggests this leave structure is a notable benefit alongside core compensation.
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Retirement Support — A traditional and Roth 401(k) with up to a 3% company match and full vesting after one year is described. Feedback suggests this match and vesting timeline help bolster long-term savings.
EXL Insights
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.
