Senior Business Analyst

Description

The company is a global partner for AI-first digital transformation and engineering, with over 25 years in the field, about 5,000 people and operations in 16 countries.

It works on artificial intelligence, data and cloud, intelligent automation and digital products.

The CEE team has nearly 1,000 experts building applications, data platforms and AI solutions for clients across banking, telecoms, energy, logistics and retail, using AWS, Azure, GCP, Databricks and Snowflake.

Responsibilities

• Collect, analyze and write down business and functional requirements for Data Quality monitoring.
• Review existing Data Quality metrics, controls and business rules to establish what each one is for and what result it should produce.
• Turn business needs into clear functional specifications that technical teams can build from.
• Help map existing Data Quality controls and requirements onto the new solution.
• Work with business stakeholders and technical teams to clarify requirements and settle conflicts between them.
• Run workshops and discussions with stakeholders.
• Define and document Data Quality metrics, validation rules and acceptance criteria.
• Spot gaps, dependencies and likely problems in business requirements.
• Support business testing and check that migrated Data Quality controls work.
• Compare outputs from the old and new solutions to confirm they match business expectations.
• Prepare and keep up functional documentation.

Requirements

• At least 5 years working as a Business Analyst on IT projects.
• Solid track record of gathering, analyzing and documenting business and functional requirements.
• Experience turning business requirements into specifications that technical teams can use.
• Experience on data projects involving data processing, data integration or data platforms.
• Good grasp of Data Quality concepts such as validation, consistency, completeness and business rules.
• Ability to analyze existing systems, processes and business logic.
• Experience working closely with business stakeholders, developers, data engineers and testers.
• Experience defining acceptance criteria and supporting UAT or business testing.
• Strong analytical, communication and problem-solving skills.
• Ability to work independently and manage requirements across several stakeholders.
• Experience in banking or financial services.
• Experience with Data Quality monitoring or data migration projects.
• Knowledge of SQL and relational databases.
• Familiarity with GCP and BigQuery in particular.
• Understanding of dbt or similar data transformation tools.
• Familiarity with Ab Initio or other ETL and data integration tools.
• Experience using GenAI in a structured way within the software development lifecycle, such as defined workflows, prompt patterns or tool integrations built into daily analysis and documentation work.
• Interest in emerging AI-driven practices, such as automating analysis tasks, AI-supported documentation or workflow optimization, and willingness to experiment beyond standard approaches.
• Recruitment steps: CV review, HR call, interview, client interview, then decision.

Conditions

You must be working from the European Union region and hold a work permit.