Data Business Analyst – GCP / Hadoop

CAPCO 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.

- Identifying and analysing Data Quality and Data Completeness issues and coordinating activities with Data Owners, asset owners and engineering teams to resolve them.

- Delivering activities related to Data Governance, including data mapping, standards validation and data access requirements.

- Preparing data access and permission requests for relevant users and groups.

- Analysing ongoing and ad hoc issues affecting data and pipelines, performing root cause analysis and defining required changes.

- Supporting enhancements to existing data pipelines, including changes to processing logic, schedules, dates and source systems.

- Creating and modifying scripts or code maintained in GitHub to support analysis, data validation and project delivery.