22 Aug
|
PwC India
|
Mumbai
Role Overview
We are seeking an experienced Data Analytics & Data Modelling Skilled to join our growing Financial Services Technology team. The successful candidate will work on high-impact engagements for major banking and financial services clients, leveraging advanced analytical tools and techniques to extract, transform, query, and analyze large-scale datasets. They will play a pivotal role in delivering data-driven solutions that support risk management, regulatory compliance, customer analytics, product performance, and strategic planning for our clients.
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Key Responsibilities
Data Analytics & Insights
- Analyze large and complex datasets related to financial and banking products including retail lending, credit cards, mortgages, deposits, treasury, trade finance, and wealth management
- Develop comprehensive analytical reports, dashboards, and presentations to communicate findings and recommendations to senior client stakeholders and leadership teams
- Perform exploratory data analysis (EDA), trend analysis, segmentation analysis,
and predictive modelling to support business decision-making
- Identify data patterns, anomalies, and correlations within transactional, behavioral, and financial data
Data Modelling & Architecture
- Design, develop, and optimize logical and physical data models (conceptual, dimensional, and relational) for financial services data environments
- Build and maintain robust data models that support regulatory reporting, risk analytics, customer 360 views, and product profitability analysis
- Ensure data models are scalable, well-documented, and aligned with industry standards.
Database Querying & Management (MySQL)
- Write complex, optimized SQL queries in MySQL to extract, manipulate, and transform large volumes of structured data from relational databases
- Develop and maintain stored procedures, views, functions, and triggers for data processing and automation
- Perform database performance tuning, query optimization,
📌 Urgent Hiring (Mumbai)
🏢 PwC India
📍 Mumbai