Data Business Analyst – GCP / Hadoop

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.

• 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.

What we're looking for:

• 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 , ideally using Hive and/or Spark SQL .

• Experience translating 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, particularly in the areas of Data Quality and Data Completeness .

• Ability to investigate data issues, identify root causes and define appropriate solutions.

• Experience collaborating with a range of stakeholders, including business teams, Data Engineers, architects, Data Owners and asset owners.

• Familiarity with GitHub and the ability to create or modify scripts supporting data analysis and validation.

Bonus points for:

• Understanding of Data Governance principles and data ownership models.

• Experience with data access management and permission-related processes.

• Understanding of data pipelines, ETL/ELT processes and cloud-based analytical platforms.

• 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.

ONLINE RECRUITMENT PROCESS STEPS

• Screening call with the Recruiter

• Competencies interview with Capco Hiring Manager

• Client’s interview

• Feedback/Offer

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