Business Analyst - AI Use Cases (Predictive Data Analytics)

We are seeking a Senior Business Analyst to support the implementation and testing of AI driven and predictive data analytics use cases across regional business functions. The role focuses on translating business requirements into data and analytics solutions, working closely with product, data, technology, and vendor teams to deliver scalable and high-quality outcomes. This role will also contribute to MIS, dashboarding, and data platform initiatives, including data warehouse implementations, data sourcing, quality checks, and UAT activities. Key Responsibilities: Business Analysis & Use Case Delivery: • Elicit, analyse, and document business requirements for AI and predictive analytics use cases. • Translate business problems into data, analytics, and model requirements in collaboration with data scientists and engineers. • Support end to end delivery of analytics use cases, from requirement definition through implementation, testing, and rollout. • Define success metrics and validate outputs against business expectations. Data & Analytics Enablement: • Support predictive analytics initiatives, including trend analysis, forecasting, and performance insights. • Work with data teams on data availability, sourcing logic, transformations, and assumptions. • Review and validate outputs from BI tools and analytics platforms (e.g., Tableau, Alteryx). MIS, Reporting & Platforms: • Contribute to MIS and dashboard development, ensuring consistency, accuracy, and usability of reports. • Support data warehouse initiatives, including source to target mapping, data lineage, and reconciliation. • Assist in standardising definitions, metrics, and reporting logic across stakeholders. Data Quality, Testing & Governance: • Perform and coordinate data quality checks, reconciliations, and exception analysis. • Prepare and execute UAT test cases, validate AI/analytics outputs, and document issues and resolutions. • Ensure solutions comply with data governance, controls, and audit requirements. • Support post implementation reviews and continuous improvement efforts. Stakeholder & Vendor Management: • Act as the bridge between business users, IT, data teams, and external vendors. • Facilitate workshops, walkthroughs, and validation sessions with stakeholders. • Track delivery progress, dependencies, and risks, escalating issues where required. Required Experience & Skills: Experience: • Minimum 5 years of experience as a Business Analyst, Data Analyst, or similar role. • Hands on experience supporting data, analytics, or AI related initiatives (predictive analytics exposure preferred). • Experience working on MIS, dashboards, or enterprise reporting solutions. • Prior involvement in data warehouse or large scale data platform implementations. • Strong experience in UAT, data validation, and quality assurance for data driven solutions. Technical & Functional Skills: • Data structures, metrics, KPIs, and analytical concepts • Predictive analytics and data driven decision making (conceptual understanding is sufficient) • Experience with Tableau (or similar BI tools) / Alteryx or analytics/workflow tools / SQL / data querying (working knowledge preferred) / Strong documentation skills (BRDs, functional specs, test cases). Nice to Have: • Exposure to AI / machine learning lifecycle (requirements, validation, monitoring). • Banking, financial services, or regulated industry experience. • Experience working with regional or cross country teams To apply,simply click the "Apply" button or send your updated profile to recruit@percept-solutions.com  EA Licence No.:18S9405 / EA Reg. No.:R1330864 Percept Solutions is expanding and actively seeking talented individuals. We encourage applicants to follow Percept Solutions on LinkedIn at https://www.linkedin.com/company/percept-solutions/to stay informed about new opportunities and events.