ПольшаData Business Analyst – GCP / Hadoop
1 мес. назад
Польша
gcphadoopdata analysis
Support a large-scale banking data initiative by translating business needs into data solutions combining business, data and technology expertise.
Обязанности
- At , 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.
Требования
- 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.
Будет плюсом
- 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.
Как откликнуться
- Screening call with the Recruiter
- Competencies interview with Hiring Manager
- Client’s interview
- Feedback/Offer
- #LI-HYBRID
Другое
- 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.
- 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
- 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.