Database Administration/Business Analyst-Senior

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.

2. 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.

3. 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.

4. Risk, Controls & Professional Attributes

• Apply appropriate controls, validation processes, and regulatory considerations to analytical work.
• Demonstrate strong 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.