Team Member - Product-CREDIT CARD-Marketing HO

Experience Level: 8 to 10 years overall ( 4–5 years in credit card domain)

Key Responsibilities:

1. Data Management & Reporting:

Develop and maintain robust MIS (Management Information System) for credit card products.

Generate and automate regular reports and dashboards using SAS, SQL, Power BI, and Excel.

Perform detailed credit card portfolio analysis, transaction trends, and product performance to provide actionable insights.

Ensure timely delivery of accurate analysis reports to stakeholders and senior management.

2. Business Insights & Analytics:

Conduct deep-dive analysis on credit card portfolios to identify growth opportunities and risks.

Monitor key performance indicators (KPIs) such as spend patterns, customer retention, delinquency rates etc.

Support product teams in pricing strategies, credit risk evaluations, and campaign performance.

3. Data Integrity & Quality:

Ensure data accuracy and consistency across all reporting systems and databases.

Collaborate with IT and data engineering teams to resolve data discrepancies and system issues.

4. Stakeholder Collaboration:

Work closely with product managers, risk teams, and marketing teams to support data-driven decision-making.

Present insights and findings in a clear, concise manner to technical and non-technical audiences.

5. Process Improvement:

Identify and implement opportunities for process automation and efficiency improvements.

Stay updated on best practices and emerging tools in data analytics and reporting.

Qualifications & Skills:

Technical Expertise:

Proficiency in SAS, SQL, Power BI, and advanced Excel (including pivot tables, macros, and complex formulas) is a must.

Strong understanding of data visualization principles and dashboard creation.

Industry Knowledge:

4–5 years of hands-on experience in the credit card domain, with exposure to product performance and portfolio analysis.

Familiarity with credit card lifecycle processes, customer segmentation, and regulatory compliance.

Analytical & Problem-Solving Skills:

Exceptional ability to interpret complex data and present actionable insights.

High attention to detail and accuracy in data analysis.

Soft Skills:

Excellent communication and presentation skills.

Ability to manage multiple tasks and meet tight deadlines in a fast-paced environment.

Preferred Qualifications:

Experience with advanced analytics tools or programming languages (e.g., Python, R).

Certification in data analytics tools like SAS, Power BI, or SQL is a plus.

Employment Type: Full-time