Cloud Data Business Analyst - 5304

We are looking for a Cloud Data Business Analyst who operates close to the technical side of data platforms and development. This role is more technical than a traditional business analyst position and requires understanding data systems, reading code when necessary, and working closely with engineering teams in a cloud environment.

The role focuses on analyzing data processes, documenting system behavior, and translating technical workflows into clear specifications and process diagrams. Rather than acting as a bridge to business stakeholders, the position primarily supports engineering teams by clarifying data logic and system interactions.

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• Take end-to-end ownership of development tasks across the full lifecycle: requirements gathering → design → development support → testing → release/deployment → BAU/support and issue resolution
• Analyze and document data flows and system processes in a cloud-based data environment
• Create process diagrams and technical documentation describing system behavior and data pipelines
• Work closely with data engineers and developers to understand system logic and data transformations
• Analyze and validate data stored in relational databases
• Perform requirements discovery and process analysis through interviews and workshops
• Define user stories, use cases, and acceptance criteria
• Produce functional and system specifications including data flows, interfaces, and non-functional requirements
• Support development teams by clarifying technical requirements and documenting data processes
• Assist with configuration/parameterization and SQL-based analysis
• Support testing and validation activities, including SIT and UAT planning and execution support
• Help reproduce defects, support regression testing, and manage issue resolution
• Coordinate work items and track progress using Jira, managing risks, dependencies, and escalations
• Support release preparation and production deployment activities, including change management processes
• Maintain up-to-date technical documentation in Confluence and contribute to knowledge sharing
• Help identify inconsistencies and improvement opportunities in data pipelines and data structures
• Maintain regular communication with stakeholders to clarify expectations and manage changes

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• 2–4+ years of experience as a Technical Business Analyst, System Analyst, Data Analyst, or similar role
• Strong knowledge of SQL and relational databases
• Ability to write complex SQL queries including joins, aggregations, and window functions
• Experience with relational databases such as Oracle, MS SQL Server, or PostgreSQL
• Ability to understand technical systems and read code when necessary
• Experience creating process diagrams, data flow documentation, and technical specifications
• Understanding of testing methodologies including SIT and UAT and issue lifecycle management
• Strong analytical and problem-solving skills
• Ability to work effectively with engineering teams in a technical environment
• English proficiency (minimum B2) for documentation and technical communication
• Interest in or willingness to learn cloud technologies

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• Experience with testing or QA activities
• Familiarity with Azure cloud environments
• Basic knowledge of Python
• Experience working with data platforms or cloud-based data architectures
• Knowledge of data warehousing concepts (e.g., Kimball methodology, star/snowflake schema)
• Experience with data lake or lakehouse architectures (e.g., Delta Lake, Databricks)
• Exposure to cloud data services such as:
  • Azure (ADF, Synapse)
  • AWS (Glue, Redshift)
  • GCP (BigQuery)
• Familiarity with Jira, Confluence, Git basics, and CI/CD concepts

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