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:
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Experts in banking and payments, capital markets, wealth and asset management
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Focused on maintaining our nimble, agile, and entrepreneurial culture
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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:
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Gathering, analysing and refining business and data requirements and translating them into clear technical requirements.
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Acting as a link between business stakeholders, data teams, architects and Data Engineers throughout the data delivery lifecycle.
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Identifying relevant data sources across HDP/Hadoop environments and determining how they should be delivered to the analytical layer in Google Cloud Platform.
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Analysing and validating data using SQL, BigQuery, Hive and Spark SQL.
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Preparing and maintaining Asset Designs, data mappings and detailed solution logic.
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Creating implementation-ready requirements and tickets for Data Engineering, covering data sources, scope, transformations, mappings and business rules.
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Collaborating with Data Engineers during implementation to clarify requirements, explain solution logic and validate delivered solutions.
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Verifying data accuracy, completeness, consistency and alignment with agreed requirements.
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Identifying and analysing Data Quality and Data Completeness issues and coordinating activities with Data Owners, asset owners and engineering teams to resolve them.
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Delivering activities related to Data Governance, including data mapping, standards validation and data access requirements.
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Preparing data access and permission requests for relevant users and groups.
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Analysing ongoing and ad hoc issues affecting data and pipelines, performing root cause analysis and defining required changes.
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Supporting enhancements to existing data pipelines, including changes to processing logic, schedules, dates and source systems.
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Creating and modifying scripts or code maintained in GitHub to support analysis, data validation and project delivery.
What we’re looking for:
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Experience delivering data solutions within banking or financial services.
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Strong hands-on experience with SQL and complex data analysis.
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Practical experience with Google Cloud Platform and BigQuery.
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Experience analysing data in Hadoop/HDP environments, ideally using Hive and/or Spark SQL.
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Experience translating business requirements into technical data requirements.
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Good understanding of data mappings, transformation logic and data flows.
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Experience preparing detailed specifications, solution designs or implementation requirements for Data Engineering teams.
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Strong analytical and problem-solving skills, particularly in the areas of Data Quality and Data Completeness.
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Ability to investigate data issues, identify root causes and define appropriate solutions.
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Experience collaborating with a range of stakeholders, including business teams, Data Engineers, architects, Data Owners and asset owners.
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Familiarity with GitHub and the ability to create or modify scripts supporting data analysis and validation.
Bonus points for:
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Understanding of Data Governance principles and data ownership models.
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Experience with data access management and permission-related processes.
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Understanding of data pipelines, ETL/ELT processes and cloud-based analytical platforms.
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Experience supporting complex data transformation or data migration initiatives.
We offer a flexible collaboration model based on a B2B contract, with the opportunity to work on diverse projects.