Data Business Analyst – GCP / Hadoop

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 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 #LI-HYBRID