Data and Strategy MI Analyst

2 weeks ago

Bengaluru, India Etenico Technologies Full time
Profile- Data and Strategy MI Analyst
Exp- 3+
Location-Bangalore
Job Description :
We are seeking an experienced and detail-oriented Data and Strategy MI Analyst to support the development and execution of data-driven strategies across our banking operations. This role focuses on delivering high-quality management information (MI) , supporting strategic decision-making, and building robust data structures to empower business insights.
The ideal candidate will have a deep understanding of the banking domain , experience working with large datasets, and a proven ability to translate data into actionable strategies. This role requires hands-on experience with data mart design/Data Pipeline design , SAS/SQL/BI Tools, working knowledge of core banking data (e.g., customer, account, credit, and transaction tables), and strong analytical acumen to develop and maintain strategic reporting and KPIs.
Key Responsibilities:
Design and implement data-driven banking strategies
Support the development of strategies focused on improving customer acquisition, engagement, retention, profitability, and portfolio risk management using robust data analysis.
Collaborate with credit risk teams across the credit lifecycle
Partner with Credit Risk and Business teams to create and monitor strategies for customer originations, credit line assignments, behavioral risk management, collections, and recoveries.
Analyze product performance and profitability
Evaluate the performance of key banking products such as savings, loans, and credit cards by analyzing customer behavior, usage patterns, and profitability drivers. Recommend improvements based on insights.
Develop and manage Management Information (MI) reporting
Create and maintain regular and ad-hoc reports to track business performance, monitor KPIs, and support senior management decision-making. Ensure reports are timely, accurate, and aligned with business goals.
Work with core banking data sets
Analyze and interpret structured data from key domains such as:
Customer tables – demographics, onboarding status, segmentation
Account tables – product types, statuses, balances
Credit tables – applications, approvals, scores, limits
Transaction tables – payment behavior, categories, frequency
Support data mart development and enhancement
Collaborate with data engineering teams to build and enhance data marts that serve as the foundation for reporting and analytics. Ensure data structures are scalable, consistent, and aligned with business logic.
Ensure data integrity and governance
Monitor data quality and consistency across systems. Apply data governance principles to ensure secure, accurate, and compliant use of data in all reporting and analysis activities.
Automate and improve reporting processes
Identify opportunities to streamline and automate recurring reports using SQL and BI tools. Reduce manual work and improve efficiency of data delivery.
Translate business needs into data requirements
Work with stakeholders across departments (e.g., product, risk, operations) to understand their objectives and translate them into technical reporting and analytical solutions.
Deliver strategic insights and recommendations
Present complex data and insights in a clear, concise, and actionable way to support business growth, optimize processes, and improve financial outcomes.
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