Job description

Project information:

• Area: banking

• Location: Kraków or other locations (1-2 days per month in the office)

• Start: ASAP/to determinate

• Cooperation on B2B

• Duration: long-term

Summary

The main function of this role is to enhance the quality of data and manage data modeling within the Time Series Data Programme, which is focused on regulatory compliance and effective data management.

Main Responsibilities:

As a Data Analyst, you will be responsible for leading data quality initiatives and collaborating across teams to ensure data integrity and compliance.

• Lead a pod or manage different models within a pod.

• Excel in stakeholder management.

• Independently collate, test, and assess sourced data for robustness and fitness for purpose.

• Learn and comprehend source systems, data models, and data standards.

• Collaborate with model development and monitoring teams to address data quality issues.

• Create ETL pipelines for the Wholesale Credit Risk data platform.

• Contribute to the design of data, application, and business process architecture roadmaps.

• Prepare and disseminate effective material to stakeholders at all levels.

• Manage relationships across key functional teams.

• Work with management to prioritize business and information needs.

• Identify and drive opportunities for process improvement.

Key Requirements:

• Solid experience in a similar role.

• Educational background: Bachelor's degree in IT or a related field; Master’s degree preferred.

• Strong programming skills, especially in SAS, Python, PySpark, SQL, or Hadoop Big Data.

• Business analysis experience including requirements gathering.

• Ability to understand complex data architecture.

• Strong organizational and problem-solving skills.

• Familiarity with JIRA, Confluence, and Monday.com.

Nice to Have:

• Experience with Prophecy.

• Knowledge of banking risk data, systems, and risk models.