Data Business Analyst: GCP & Hadoop in Banking in Kraków

*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. 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 #LI-HYBRID Apply for this job

* indicates a required field First Name * Last Name * Email * Phone Country * Phone * Resume/CV * Enter manually Accepted file types: pdf, doc, docx, txt, rtf Do you have experience delivering data solutions within banking or financial services? * Select... Describe your experience working as a Business Analyst in the banking or financial services sector. What types of projects have you been involved in? LinkedIn Profile How long is Your notice period? * What are your rate expectations? (PLN gross) * What is your current location? * Select... If "Other", please specify: Were you referred to this role by a current Capco Poland Employee? If yes, please confirm the employee’s name and surname * Capco Job Candidate Privacy Notice Acknowledgement * Select... Do you require reasonable accommodations or adjustments? If you answered yes to the Reasonable Adjustments question, please provide additional details. If not, enter N/A. * If you answered yes to the previous question, please provide additional details.

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