Job Overview:
The job requires understanding the business and framing the business requirement as a data analytics problem statement. The individual will be responsible for providing business insights and managing end-to-end project delivery. The job requires building relationships with the client and presenting work directly to clients. The individual should effectively collaborate with team members around problem structuring and use of analytics (tools and techniques) to carry out analysis. The individual will be responsible for project delivery and gathering client feedback.
Responsibilities
Key Responsibilities:
- Lead and manage analytics projects focused on banking/financial sectors.
- Marketing analytics experience, managed and optimized marketing campaigns
- Utilize strong Python skills to develop analytical models and tools.
- Collaborate with cross-functional teams to identify business challenges and deliver actionable insights.
- Engage with clients to understand their needs, present findings, and recommend solutions.
- Oversee project timelines, budgets, and resources to ensure successful project delivery.
- Mentor and guide junior team members in analytics methodologies and tools.
- Stay updated on industry trends and best practices to enhance service offerings.
Qualifications:
- Bachelor's degree in a related field (e.g., Computer Science, Data Science, Business Analytics).
- Approximately 2 years of experience in banking analytics and/or marketing analytics.
- Strong proficiency in Python for data analysis and/or model development.
- Excellent problem-solving skills with a proven ability to tackle complex business challenges.
- Experience in client management and effective presentation of analytical findings.
- Strong project management skills with a track record of delivering projects on time and within budget.
- Exceptional communication skills, both written and verbal.
Preferred Skills:
- Comprehensive marketing experience from targeting, campaign execution, insight generation through a measurement framework and subsequent optimization skill is good to have
- Experience with exploratory data analysis, feature engineering, pivots, and data summarization is required.
- Understanding basic statistical techniques like t-tests, chi-square tests, hypothesis testing, A/B testing, regression analysis, etc.
- Familiarity with statistical analysis and machine learning concepts.
- Understanding of banking and financial services.
- Experience of programing in PySpark is good to have.
- Experience with data visualization tools (e.g., Tableau, Power BI).
Skills Required
- Bachelor's degree in a related field (e.g., Computer Science, Data Science, Business Analytics).
- Approximately 2 years of experience in banking analytics and/or marketing analytics.
- Strong proficiency in Python for data analysis and/or model development.
- Excellent problem-solving skills with ability to tackle complex business challenges.
- Experience in client management and effective presentation of analytical findings.
- Strong project management skills with a track record of delivering projects on time and within budget.
- Exceptional communication skills, both written and verbal.
- Experience with exploratory data analysis, feature engineering, pivots, and data summarization.
- Understanding basic statistical techniques like t-tests, chi-square tests, hypothesis testing, A/B testing, regression analysis.
- Familiarity with statistical analysis and machine learning concepts.
- Understanding of banking and financial services.
- Comprehensive marketing experience from targeting, campaign execution, measurement framework and optimization.
- Experience programming in PySpark.
- Experience with data visualization tools (e.g., Tableau, Power BI).
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.
