Roles & Responsibilities: The Lead Data Analyst's primary responsibility is to deliver Business Insights & Product Insights through data analysis. Act as a subject matter expert for the team/clients in designing and recommending the appropriate business approaches and methodology in addressing key business issues. Business research & experiment, development, and implementation of appropriate process / systems that lead to improved business performance through identifying the opportunities for optimization. Analytical & Technical Skills: The candidate must be passionate and highly skilled in business analytics and data representation. The candidate should also be highly knowledgeable in the contact center business use of emerging open-source data visualization tools Power BI, Domo etc. This is necessary for the creation of visually and verbally engaging reports and presentations, for clients, leadership teams, and other key stakeholders. The candidate should be skilled in SQL database, Data crunching, Business analytics, Data analytics, and Python (added advantage) etc. Additionally have a deep understanding of A/B testing and be highly knowledgeable in key metric identification for driving and maintaining healthy business performance. Experience in CC contact channels, digital products, Digital transformation solutions, Conversational AI Optimization (Voice & Digital), Client handling, and web data handling would be added advantage. Interpersonal Skills: The candidate must be detail-oriented, be comfortable working in a collaborative setting, be comfortable working with business senior executives, be self-motivated requiring minimal supervision, be proactive, be a creative strategic and independent thinker, have superior problem-solving skills, can work on multiple projects, and meet tight deadlines, have a positive can-do attitude, and demonstrate calmness and composure in times of uncertainty. Collaboration: The candidate must work closely with the internal departmental leads and executives to deliver high-quality execution of the diverse array of projects. The role requires to collaborate closely with the leaders of cross functional teams to deliver the projects for the clients/stakeholders. Education: The Lead Data Analyst role demands to have a master’s degree in business administration, Statistics, Information Systems, Applied Math, or any other related field. An equivalent of the same in working experience would also be acceptable for the position.
ResponsibilitiesRoles & Responsibilities: The Lead Data Analyst's primary responsibility is to deliver Business Insights & Product Insights through data analysis. Act as a subject matter expert for the team/clients in designing and recommending the appropriate business approaches and methodology in addressing key business issues. Business research & experiment, development, and implementation of appropriate process / systems that lead to improved business performance through identifying the opportunities for optimization. Analytical & Technical Skills: The candidate must be passionate and highly skilled in business analytics and data representation. The candidate should also be highly knowledgeable in the contact center business use of emerging open-source data visualization tools Power BI, Domo etc. This is necessary for the creation of visually and verbally engaging reports and presentations, for clients, leadership teams, and other key stakeholders. The candidate should be skilled in SQL database, Data crunching, Business analytics, Data analytics, and Python (added advantage) etc. Additionally have a deep understanding of A/B testing and be highly knowledgeable in key metric identification for driving and maintaining healthy business performance. Experience in CC contact channels, digital products, Digital transformation solutions, Conversational AI Optimization (Voice & Digital), Client handling, and web data handling would be added advantage. Interpersonal Skills: The candidate must be detail-oriented, be comfortable working in a collaborative setting, be comfortable working with business senior executives, be self-motivated requiring minimal supervision, be proactive, be a creative strategic and independent thinker, have superior problem-solving skills, can work on multiple projects, and meet tight deadlines, have a positive can-do attitude, and demonstrate calmness and composure in times of uncertainty. Collaboration: The candidate must work closely with the internal departmental leads and executives to deliver high-quality execution of the diverse array of projects. The role requires to collaborate closely with the leaders of cross functional teams to deliver the projects for the clients/stakeholders. Education: The Lead Data Analyst role demands to have a master’s degree in business administration, Statistics, Information Systems, Applied Math, or any other related field. An equivalent of the same in working experience would also be acceptable for the position.
QualificationsBachelor's/Master's in any stream 2-5 years
Skills Required
- Bachelor's or master's degree in any field
- Master's degree in business administration, Statistics, Information Systems, Applied Mathematics, or a related field, or equivalent work experience
- 2-5 years of professional experience
- Business analytics and data analysis experience
- SQL database skills
- Experience with data visualization tools such as Power BI or Domo
- Understanding of A/B testing and key performance metrics
- Python experience
- Contact center, digital products, digital transformation, conversational AI optimization, client handling, or web data experience
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.
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