Data Business Analyst – GCP / Hadoop

Capco Poland is a global technology and management consultancy specializing in digital transformation in financial services, with expertise in banking, payments, capital markets, and wealth and asset management.

• Experience delivering data solutions within banking or financial services.
• Strong hands-on experience with SQL and complex data analysis.
• Practical experience with Google Cloud Platform and BigQuery.
• Experience analysing data in Hadoop/HDP environments using Hive and/or Spark SQL.
• Ability to translate business requirements into technical data requirements.
• Good understanding of data mappings, transformation logic, and data flows.
• Experience preparing detailed specifications, solution designs, or implementation requirements for Data Engineering teams.
• Strong analytical and problem-solving skills regarding Data Quality and Data Completeness.
• Ability to investigate data issues, identify root causes, and define solutions.
• Experience collaborating with stakeholders including business teams, Data Engineers, architects, and Data Owners.
• Familiarity with GitHub and ability to create or modify scripts supporting data analysis and validation.

Nice to have:

• Understanding of Data Governance principles and data ownership models.
• Experience with data access management and permission processes.
• Understanding of data pipelines, ETL/ELT processes, and cloud-based analytical platforms.
• Experience supporting complex data transformation or data migration initiatives.

• Gathering, analysing and refining business and data requirements into technical requirements.
• Acting as a liaison between business stakeholders, data teams, architects, and Data Engineers during the data delivery lifecycle.
• Identifying relevant data sources in HDP/Hadoop and determining delivery 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 solution logic.
• Creating implementation-ready requirements and tickets for Data Engineering covering data sources, transformations, mappings, and business rules.
• Collaborating with Data Engineers during implementation to clarify requirements and validate solutions.
• Verifying data accuracy, completeness, consistency, and alignment with requirements.
• Identifying and analysing Data Quality and Data Completeness issues; coordinating resolution efforts.
• Delivering activities related to Data Governance, including data mapping, standards validation, and access requirements.
• Preparing data access and permission requests for users and groups.
• Analysing and resolving issues affecting data and pipelines, including root cause analysis.
• Supporting enhancements to data pipelines including changes to logic, schedules, and source systems.
• Creating and modifying scripts or code maintained in GitHub to support analysis and validation.

*Candidates must be located in Poland.