Data Business Analyst – GCP / Hadoop

Over deze vacature

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