IT Business Analyst Budapest

IT Business Analyst
Budapest
Budapest, Budapest

1. Data Source Discovery & Analysis
   • Identify relevant data sources needed for the project.
   • Perform exploratory data analysis to understand structure, content, and data quality in existing systems.
   • Document metadata, data dictionaries, and data flow diagrams.
2. Data Modelling
   • Create a conceptual, logical data model and have knowledge of physical data models
   • Map source system data to the target conceptual and logical data model.
3. Reverse-Engineering Business Rules
   • Investigate existing systems, stored procedures, or application logic to uncover implicit business rules.
   • Analyse data patterns, anomalies, and usage contexts to deduce business logic embedded in systems.
   • Document and validate discovered rules for business.
4. Requirement Gathering & Stakeholder Engagement
   • Conduct interviews and workshops with business users, subject-matter experts, and other stakeholders to capture business requirements.
   • Translate high-level business needs into actionable data requirements.
   • Present findings and recommendations in clear, concise formats for both technical and non-technical stakeholders and document this properly.
5. Business Rule Definition & Validation
   • Work closely with the business to define or refine business rules for data transformation, quality checks, and reporting.
   • Propose improvements or enhancements to existing processes based on discovered rules and data insights.
   • Validate business rules through prototypes, pilot projects, or data profiling exercises.
6. Documentation & Communication
   • Maintain comprehensive documentation, including source-to-target mappings, data lineage, business rule definitions, and data flow diagrams.
   • Create user stories, functional specifications, or other artifacts as part of an agile development cycle.
   • Report project status, findings, and concerns regularly to stakeholders and management.
7. Collaboration & Continuous Improvement
   • Collaborate with Data Engineers, Database Architects, Quality Assurance, and other IT teams to ensure seamless data integration and transformation.
   • Identify data quality issues or risks and suggest mitigation strategies.
   • Adapt to the move to cloud (Google) and make use of the latest technologies within GCP

• Fluency in English language both spoken & written.
• Excellent skills in data modelling, experience with data vault
• Advanced SQL and data querying knowledge
• Experience in data profiling, metadata management, and data quality assessment.
• Business Acumen: Ability to interpret and translate business needs into technical requirements.
• Analytical Skills: Strong problem-solving skills to identify, investigate, and document complex business rules and data relationships.
• Communication Skills: Excellent written and verbal communication for workshops, stakeholder interviews, and documentation.
• Soft Skills: Adaptability, collaboration, critical thinking, and attention to detail.
• Experience working in an Agile environment.

• Flexible working conditions, regular home office
• Working in cross-country teams, being a member of an active community
• Competitive salary and various benefits
• Separated budget and time for your learning and professional development

What you need to do now 

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