Credit Risk Analytics & Reporting Specialist

US Bank; Warszawa; Hybrid; PLN 180,000 - 260,000; Full time

Job summary

U.S. Bank seeks an experienced data reporting professional to redesign and transform credit risk data and reporting processes.

You will create and maintain Power BI dashboards, automate recurring tasks with Power Automate, and integrate data from multiple sources using SQL and Python. You will partner with risk managers, line of business, and data teams to deliver timely, accurate risk reports across wholesale and retail portfolios.

Qualifications

• Bachelor's degree in Mathematics, Computer Science, Economics, Statistics, Business, or equivalent.
• 4+ years of applicable experience in data analytics or reporting.
• Proven ability to design and develop Power BI dashboards that visualize data effectively.
• Strong SQL skills for data extraction, transformation, and analysis.
• Strong written and verbal communication skills.

Responsibilities

• Design, develop, and automate reporting processes using Microsoft Power Platform for credit risk management.
• Build and maintain Power BI dashboards for wholesale and retail portfolios.
• Develop ETL processes to extract, cleanse, and reconcile risk data.
• Run weekly, month-end, and quarterly data and reporting cycles with accuracy.
• Collaborate with risk managers, technology, and data teams to align data and logic.
• Automate workflows for data capture, testing, documentation, and visualization.
• Create documentation and playbooks to promote consistency and knowledge sharing.
• Explore ML/AI techniques to enhance efficiency and decision making.

Skills

Power BI dashboards

SQL queries

Analytical thinking

Collaboration

Communication

Education

Bachelor's degree

Tools

Power Platform

Power Automate

Power Apps

Python

SQL

Job description

U.S. Bank seeks an experienced data reporting professional to redesign and transform credit risk data and reporting processes.

You will create and maintain Power BI dashboards, automate recurring tasks with Power Automate, and integrate data from multiple sources using SQL and Python. You will partner with risk managers, line of business, and data teams to deliver timely, accurate risk reports across wholesale and retail portfolios.