Data Business Analyst – GCP / Hadoop

Capco; Kraków; On-site; PLN 180,000 - 260,000; Full time

Benefits offered by this job

Flexible collaboration on B2B contract

Job summary

Capco Poland is seeking a Data Business Analyst to support a large-scale banking data initiative. You will bridge business requirements with data analysis and technical delivery, translating needs into data solutions.

Role involves end-to-end analytical scope: gathering requirements, identifying data sources, validating data, and collaborating with Data Engineers on implementation across HDP/Hadoop and Google Cloud Platform. A hands-on, cross-functional mindset is essential.

Qualifications

• 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 Hive and Spark SQL.
• Experience translating business requirements into technical data requirements.
• Good understanding of data mappings, transformation logic and data flows.
• Experience preparing detailed specifications for Data Engineering teams.
• Strong analytical skills, especially in Data Quality and Data Completeness.
• Ability to investigate data issues, identify root causes and define solutions.
• Experience collaborating with stakeholders including Data Engineers and asset owners.
• Familiarity with GitHub and scripting to support data analysis and validation.

Responsibilities

• Gathering and refining business and data requirements into clear technical specifications.
• Acting as a link between business stakeholders, data teams, architects and Data Engineers.
• Identify data sources across HDP/Hadoop environments and determine delivery to analytics layer in Google Cloud Platform.
• Analyse and validate data using SQL, BigQuery, Hive and Spark SQL.
• Prepare and maintain asset designs, data mappings and detailed solution logic.
• Create implementation-ready requirements and tickets for Data Engineering teams.
• Collaborate with Data Engineers during implementation to clarify requirements and validate delivery.
• Verify data accuracy, completeness, consistency and alignment with requirements.
• Identify Data Quality and Data Completeness issues and coordinate resolution.
• Deliver data governance activities, including mapping, standards validation and access requirements.
• Prepare data access requests for relevant users and groups.
• Analyse ongoing issues and perform root cause analysis; define required changes.
• Support enhancements to data pipelines including processing logic, schedules and sources.
• Create/modify scripts in GitHub to support analysis and validation.

Skills

SQL

BigQuery

Hive

Spark SQL

Data Governance

GitHub

Data Quality

Data Completeness

Business Requirements

Analytical Skills

Tools

Google Cloud Platform

Hadoop/HDP

Job description

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 aData 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 withSQL 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.