Data & Reporting Analyst - Credit Card Risk Domain

About Kadel Labs : Kadel Labs is a leading IT services company delivering top-quality technology solutions since 2017, focused on enhancing business operations and productivity through tailored, scalable, and future-ready solutions. With deep domain expertise and a commitment to innovation, we help businesses stay ahead of technological trends. As a CMMI Level 3 and ISO 27001 : 2022 certified company, we ensure best-in-class process maturity and information security, enabling organizations to achieve their digital transformation goals with confidence and efficiency.Job Title : Data & Reporting AnalystLocation : Bangalore / Bhopal / Jaipur / UdaipurExperience : 5 - 7 YearsAbout the Role : Data & Reporting Analyst (Credit Card Risk)Role Purpose : Own risk data pipelines, portfolio MIS, and recurring risk reporting for the US credit card portfolio.Key Responsibilities : - Build and maintain automated risk reports and dashboards (delinquency, roll rates, vintage curves, portfolio KPIs)- Develop and optimize SQL/Python data pipelines feeding risk analytics and regulatory/management reporting- Perform data quality checks, reconciliation, and issue resolution across risk data sources- Leverage AI tools/agents to automate reporting workflows and self-serve analyticsRole-Specific Skills : - Strong SQL (complex joins, window functions); Python for automation (pandas)- Experience with BI tools (Tableau, Power BI, or similar) preferred- Familiarity with credit card data structures : transactions, statements, bureau data, delinquency buckets.Mandatory Skills : - US Credit Card Experience : Hands-on experience supporting US credit card portfolios (issuing side) - e.g., US bank, card issuer, fintech, or captive/GCC supporting a US card business.- Python / SQL : Strong proficiency in Python and/or SQL for data extraction, analysis, and automation- AI / AI Agent Experience (3+ years) : More than 3 years of experience working with AI - building or working with AI agents, LLM-based solutions, machine learning models, or AI-driven analytics in a professional setting- Excel : Advanced Excel skills, including pivot tables, complex formulas, and building management-ready reports and dashboards- Communication : Strong written and verbal English communication; ability to work with US-based stakeholders and overlap with US business hours as needed. (ref:hirist.tech) .