Business Analyst – Financial Data / BI & Reporting
Must Have Experience:
• Business / Data Analyst from Financial Background
• Experience with Data Analysis
• Experience with Data Transformation
• Experience with Data Dashboards
• Experience building financial reports
• Experience working with Data Architects to build Data Dashboards/ Data Reports.
Job Description:
• Collaborate with business stakeholders and product teams to elicit, analyze, document, validate, and prioritize business, data, reporting, dashboard, and analytics requirements through interviews, workshops, and working sessions.
• Translate business requirements into functional requirements, user stories, use cases, acceptance criteria, process flows, and data/reporting specifications suitable for technical implementation.
• Analyze existing business processes, information flows, reporting solutions, KPIs, metrics, and dashboards to identify gaps, improvement opportunities, and data/reporting needs.
• Support the definition and validation of KPIs, business metrics, reporting logic, dashboard requirements, filters, drill-downs, visualization needs, and analytical requirements.
• Work closely with Data Architects, Data Engineers, BI Developers, and application teams to ensure business requirements are accurately translated into data models, datasets, data transformations, reporting solutions, and analytical capabilities.
• Analyze data requirements including source-to-target business rules, data definitions, mappings, transformations, reconciliation rules, data quality requirements, and business validation criteria.
• Maintain end-to-end requirements traceability, ensuring alignment between business objectives, requirements, user stories, solution design, development, testing, and acceptance. Requirements and traceability management are explicitly included in the TOR business analysis scope.
• Support backlog refinement, sprint planning, requirement clarification, demos, UAT, defect triage, and business acceptance in an Agile delivery environment.
• Partner with QA and Data Validation teams to develop business scenarios, acceptance criteria, test scenarios, expected results, and data validation/reconciliation criteria for reporting and analytics solutions.
• Facilitate communication between business and technical teams, proactively resolving requirement ambiguities, dependencies, data issues, and functional gaps throughout the delivery lifecycle.
• Support evaluation of existing and proposed solutions and provide business-focused recommendations for enhancements, modernization, automation, reporting improvements, and improved data accessibility.
• Prepare and maintain high-quality BA artifacts including BRDs/FRDs where applicable, user stories, process flows, data dictionaries/business glossaries, KPI definitions, requirements traceability matrices, reporting specifications, and UAT documentation.
• Support production enhancements and continuous improvement by analyzing incidents, reporting discrepancies, data-quality issues, and recurring business problems and translating them into actionable requirements.
Required Skills & Experience
• Strong experience as a Business Analyst supporting data, reporting, analytics, BI, or enterprise data platform initiatives.
• Experience in requirements elicitation, stakeholder management, business process analysis, user stories, acceptance criteria, and requirements traceability.
• Strong understanding of data and reporting concepts, including KPIs, metrics, data models, data quality, reconciliation, data lineage, and reporting/business rules.
• Working knowledge of Power BI or comparable BI/reporting platforms, with the ability to translate business needs into dashboard and visualization requirements.
• Familiarity with enterprise data environments such as Azure Data Platform, Azure Databricks, PostgreSQL, data lakes, data pipelines, and integration solutions is highly desirable, as these technologies form part of the MIGA Data Platform engineering scope.
• Good understanding of Agile/Scrum delivery, backlog management, sprint ceremonies, UAT, and the software/data development lifecycle.
• Strong analytical, problem-solving, documentation, stakeholder communication, and facilitation skills.
• Experience working with complex financial, investment, portfolio management, risk, or development-finance systems and reporting environments