About the role

Account Manager – Business Analytics & Marketing Analytics at EXL drives data‑driven insights for banking and marketing clients. The role blends client relationship management with end‑to‑end analytics project delivery, translating business needs into analytical problem statements. Responsibilities include leading analytics initiatives, building Python‑based models, collaborating across teams, presenting findings to stakeholders, and ensuring on‑time, on‑budget delivery. Candidates should hold a bachelor’s degree, have ~2 years of analytics experience, and be proficient in Python, PySpark, Tableau/Power BI, and statistical methods. Strong communication, project management, and client‑facing skills are essential.

What you’ll do

Lead and manage analytics projects in banking/financial sectors.
Optimize marketing campaigns and deliver insights.
Develop analytical models using Python.
Collaborate with cross‑functional teams to solve business challenges.
Present findings to clients and recommend solutions.
Oversee project timelines, budgets, and resources.
Mentor junior analytics team members.
Stay updated on industry trends and best practices.

What you’ll bring

Bachelor's in CS, Data Science, or Business Analytics.
~2 years banking/marketing analytics experience.
Proficient in Python for data analysis/modeling.
Strong problem‑solving for complex business challenges.
Client management and presentation of analytical findings.
Project management delivering on time and within budget.
Excellent written and verbal communication skills.

Nice to have

Marketing experience in targeting, campaigns, insights, and optimization.
Exploratory data analysis, feature engineering, pivots, summarization.
Basic stats: t-tests, chi-square, hypothesis, A/B, regression.
Familiar with statistical analysis and machine learning concepts.
Knowledge of banking and financial services.
Programming in PySpark (good to have).
Data visualization tools like Tableau, Power BI.

Skills

Python programming for data analysis and modeling.PySpark for large‑scale data processing.Tableau or Power BI for data visualization.Statistical analysis and machine learning techniques.Project management and client engagement.Strong communication and presentation skills.

Education

Bachelor's Degree