Role & responsibilities

1. Technical &
- Analytical Skills

- Strong SQL skills for data extraction, transformation, and analysis across large datasets.

- Working knowledge of Python, SAS, or similar analytical tools for data manipulation, reporting, and automation.

- Experience performing exploratory, trend, segmentation, and root-cause analysis to identify business opportunities and performance drivers.

- Ability to develop recurring reports, dashboards, and scorecards while ensuring data quality and accuracy.

1. Business &
- Domain Knowledge

- Understanding of consumer banking, credit card products, customer lifecycle management, and marketing performance metrics.

- Ability to translate customer and business data into actionable insights that support targeting, segmentation, process improvements, and strategic decision-making.

- Familiarity with campaign measurement, portfolio performance monitoring, and customer behavior analytics.

1. Communication &
- Partnership

- Communicate analytical findings and recommendations clearly to business partners and stakeholders.

- Collaborate effectively with Marketing, Product, Risk, Operations, Finance,



and Technology teams to support business initiatives and decision strategies.

- Develop concise presentations and reports that connect analytical findings to business outcomes.

1. Risk, Controls &
- Professional Attributes

- Apply appropriate controls, validation processes, and regulatory considerations to analytical work.

- Demonstrate robust attention to detail, problem-solving skills, and ownership of deliverables.

- Ability to manage multiple priorities in a fast-paced environment while maintaining high-quality output.

- Familiarity with GenAI and emerging analytics tools to improve productivity, reporting, and insight generation

&

- 4-7years of experience, preferably in financial services.

- Strong analytical and problem-solving skills.

- Hands-on experience in Python/PySpark, SQL, and Hadoop/Big Data environments.

- Experience in machine learning and predictive modeling (e.g., Decision Trees, Logistic Regression).

- Knowledge of Digital Marketing and/or Credit Card business preferred.

- Exposure to Adobe SiteCatalyst or other web analytics tools is a plus.

📌 Database Administration/Business Analyst-Senior (Bengaluru)
🏢 Bootminds Systems
📍 Bengaluru