Data Business Analyst

CAPCO POLAND

*We're looking for candidates located in Poland

Capco Poland is a global technology and management consultancy specializing in driving digital transformation across the financial services industry. We are passionate about helping our clients succeed in an ever-changing industry.

We also are:

• Experts in banking and payments, capital markets, wealth and asset management
• Focused on maintaining our nimble, agile, and entrepreneurial culture
• Committed to growing our business and hiring the best talent to help us get there

Role Overview:

At Capco, we combine business, data and technology expertise to deliver meaningful transformation across financial services.

We are looking for a Data Business Analyst to support a large-scale banking data initiative. This role sits at the intersection of business requirements, data analysis and technical delivery, with a strong focus on translating business needs into well-defined data solutions.

You will be responsible for an end-to-end analytical scope: understanding data requirements, identifying and validating source data, defining business logic and mappings, preparing Asset Designs and implementation-ready requirements, and collaborating with Data Engineering teams throughout delivery.

This is a great opportunity for someone who enjoys combining hands-on data analysis with business analysis and solution design in a complex banking environment.

What You'll be responsible for:

• Gathering, analysing and refining business and data requirements and translating them into clear technical requirements.
• Acting as a link between business stakeholders, data teams, architects and Data Engineers throughout the data delivery lifecycle.
• Identifying relevant data sources across HDP/Hadoop environments and determining how they should be delivered to the analytical layer in Google Cloud Platform.
• Analysing and validating data using SQL, BigQuery, Hive and Spark SQL.
• Preparing and maintaining Asset Designs, data mappings and detailed solution logic.
• Creating implementation-ready requirements and tickets for Data Engineering, covering data sources, scope, transformations, mappings and business rules.
• Collaborating with Data Engineers during implementation to clarify requirements, explain solution logic and validate delivered solutions.
• Verifying data accuracy, completeness, consistency and alignment with agreed requirements.