Data & Reporting Analyst (Credit Card Risk)

Kadel Labs; Udaipur District, Jaipur, Bhopal, Bengaluru; On-site; INR 900,000 - 1,700,000; Full time

Job summary

Kadel Labs is seeking a Data & Reporting Analyst to own risk data pipelines and portfolio MIS for the US credit card portfolio. You will work with SQL, Python, and BI tools to deliver accurate risk insights.

You will build automated risk reports, perform data quality checks, and collaborate with US stakeholders to ensure timely, governance-ready analytics across multiple data sources.

Qualifications

• US Credit Card Experience: Hands-on experience supporting US credit card portfolios (issuing side).
• Python / SQL: Strong proficiency in Python and/or SQL for data extraction, analysis, and automation.
• AI / AI Agent Experience (3+ years): Building or working with AI agents and AI-driven analytics.
• Excel: Advanced Excel skills, including pivot tables, complex formulas, and dashboards.
• Communication: Strong written and verbal English communication with US stakeholders.

Responsibilities

• Build and maintain automated risk reports and dashboards (delinquency, roll rates, vintage curves, KPI).
• Develop and optimize SQL/Python data pipelines feeding risk analytics and reporting.
• Perform data quality checks, reconciliation, and issuer resolution across data sources.
• Leverage AI tools/agents to automate reporting workflows and self-serve analytics.

Skills

Strong SQL

Python for automation

BI tools (Tableau/Power BI)

Tools

Tableau

Power BI

Job description

Data & Reporting Analyst (Credit Card Risk)

udaipur. jaipur, bhopal. bangalore, India | Posted on 10/22/2026

At Kadel Labs – Startup Studio we built an ecosystem for early-stage founders to help them take their ideas to the next level. The ecosystem consists of in-house product teams, engineers, designers, data scientists, sales & marketing teams, legal experts, taxation, finance and operation heads. We aim to build a cohesive ecosystem, so that your startup runs as a full-fledged business from day 1!

Job Description

Kadel Labs is a deep-tech IT services company delivering high-quality technology solutions since 2017. We specialize in Digital Transformation, Data Engineering, Cloud, AI/ML, and Enterprise Applications, helping global enterprises build scalable and innovative solutions. Kadel Labs is a CMMI Level 3 and ISO 27001:2022 certified organization committed to engineering excellence and customer success.

About 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 issuer resolution across risk data sources
• Leverage AI tools/agents to automate reporting workflows and self-serve analytics

Role-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

Requirements

• 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