Business Analytics Analyst- Generative AI

Overview

Business Analytics Analyst (C10) in the US Consumer Cards Digital Product Analytics team, analysing digital servicing and marketing experience and applying Gen-AI solutions to improve digital growth and customer engagement.

What you'll do

• Interpret complex data sets to identify significant trends, patterns and anomalies, and translate them into clear, concise and impactful insights for business partners and senior leadership.
• Identify and compile data sets using tools such as SQL, Python and PySpark to help predict, improve and measure the success of key business outcomes.
• Utilize statistical methods and analytical tools to extract meaningful insights from large and complex datasets.
• Document data requirements, data collection, processing and cleaning, and perform exploratory data analysis, which may include statistical models, algorithms and data visualization techniques.
• Drive digital marketing, product sales and engagement by analyzing user behavior and campaign performance to identify new engagement and revenue opportunities.
• Conduct deep-dive analyses of the website and mobile app to identify and eliminate points of friction in the customer service journey.
• Apply Gen-AI powered analysis to enhance customer interactions, particularly chatbot performance and personalized user experiences.
• Design, develop and implement advanced GenAI solutions using prompt engineering, Retrieval-Augmented Generation (RAG), and Agentic AI models with frameworks like LangChain and LangGraph.
• Lead the industrialization and enhancement of the Test & Learn capability, enabling rapid design, execution and measurement of experiments using A/B and multivariate testing.
• Guide and mentor junior team members, and build partnerships with cross-functional teams.

What you'll need

• Hands-on experience in Python, SQL and Machine Learning (ML).
• Proficiency in GenAI technologies including prompt engineering, LangChain, LangGraph, RAG and development of Agentic AI.
• Familiarity with GenAI governance principles and best practices for responsible and compliant AI development.
• Writing clean, efficient, well-documented code according to design specifications and coding standards.
• Bachelor's Degree with at least 3 years of working experience OR Master's Degree with 2 years of working experience.
• Ability to identify, clearly articulate and solve complex business problems and present them to management in a structured and simpler form.
• Hands-on experience working with large, complex, unstructured datasets, data warehouses, and pulling data using relevant programs and coding.
• Excellent communication and interpersonal skills; organized, detail oriented, flexible and adaptive to a matrix work environment.
• Experience working and collaborating with multiple stakeholders.
• Ability to build partnerships with cross-functional teams.

Nice to have

• Experience with PySpark.
• Knowledge of digital marketing and Credit Card business, and industry best practices.
• Experience in Investment Analytics, Retail Analytics, Credit Cards, Services, Banking & Markets Financial Services.
• Experience in Python, PySpark, Hive, Impala and SQL programming.
• Credit card business and P&L experience.
• Knowledge of Adobe, Test & Learn and other web analytics tools.

Details

• Location: Bengaluru, Karnataka, India.
• Full time.