Key Responsibilities: 1.

Business Analytics & Use Cases: · Identify and prioritise Transaction Banking analytics use cases across client behaviour, transactions, revenue, liquidity, onboarding, product usage, cross-sell, and operational efficiency. · Partner with Business and Product teams to define business problems, KPIs, success measures, and practical analytical solutions. · Support analytics/AI pilots with a focus on business value, usability, and scalability. 2.

Data Analysis & Insights: · Analyse TB data to identify trends, drivers, risks, opportunities, and performance gaps. · Translate findings into actionable insights supporting business decisions, product strategy, and operational improvements. · Validate analytical outputs and ensure they align with business realities. 3.

Reporting & Dashboards: · Develop management reports, dashboards, KPIs, trend analysis, and risk/exception indicators for TB Business and Operations. · Use AI to automate insight generation, identify exceptions,



and simplify analysis of complex datasets. · Ensure insights are transparent, interpretable, and used as decision-support tools. 4.

Data Business Analysis & Requirements: · Gather and translate business, reporting, KPI, and data requirements for Transaction Banking. · Contribute to the TB Datamart by defining consistent, reusable metrics and datasets. · Work with Product, Data, Technology, and AI teams to ensure solutions are practical and aligned with business needs. 5.

Data Quality & Governance: · Perform data quality, validation, and reconciliation checks to ensure reliable reporting and analytics. · Support metric definitions, data dictionaries, and business rules. · Drive stakeholder adoption by communicating insights in explicit, non-technical language. older communication, and prioritisation skills

📌 Transactional Banking Data Analyst (Ambattur)
🏢 Saaki Argus And Averil Consulting
📍 Ambattur