Job Description
We are looking for an experienced analytics leader to drive enterprise analytics, AI initiatives, reporting platforms, and data engineering for a leading NBFC. The role combines business strategy, data engineering, machine learning, generative AI, cloud architecture, and stakeholder management to enable data-driven decision making across lending, collections, customer acquisition, risk, finance, and operations.
The ideal candidate should possess strong business acumen along with deep technical expertise in AWS analytics services, AI-assisted development, and modern reporting platforms. The Business understanding till Report delivery
Key Responsibilities
Analytics Business Intelligence
Lead enterprise-wide analytics initiatives supporting business growth.
Build executive dashboards and management reporting.
Develop analytical frameworks for lending, customer lifecycle, portfolio performance, collections, and profitability.
Generate actionable business insights through descriptive, diagnostic, predictive, and prescriptive analytics.
Present findings to senior leadership and business stakeholders.
Data Engineering AWS
Design and manage enterprise data platforms using AWS technologies including
Amazon Redshift
AWS Glue
AWS Lambda
AWS Step Functions
Technical Responsibilities include
ETL/ELT pipeline development
Data warehouse architecture
Data modelling
Performance optimisation
Data quality monitoring
Metadata management
Cost optimisation
Artificial Intelligence Machine Learning
Lead AI initiatives using
Amazon SageMaker
Amazon Bedrock
Foundation Models
Retrieval Augmented Generation (RAG)
Vector Databases
Prompt Engineering
Generative AI applications
Develop solutions such as
Customer intelligence
Recommendation engines
Churn prediction
Lead scoring
Document intelligence
Intelligent assistants
AI-powered reporting
Predictive risk models
AI-Assisted Software Development
Champion AI-powered engineering practices using tools such as
GitHub Copilot
Amazon Q Developer, Kiro
Cursor
ChatGPT
Responsibilities include
AI-assisted coding
SQL generation
Code review
Documentation generation
Test automation
Workflow optimisation
Reporting Visualisation
Develop enterprise reporting using
Amazon QuickSight
Microsoft Power BI
SQL
Executive MIS
KPI dashboards
Ensure
Automated reporting
Self-service analytics
Near real-time dashboards
Data governance
Business Analysis
Gather and document business requirements.
Translate business problems into analytical solutions.
Conduct process improvement studies.
Build business cases for AI and automation projects.
Work closely with Product, Operations, Risk, Finance, Sales, and Technology teams.
Team Leadership
Lead and mentor analytics, BI, and data engineering teams.
Define technical standards and best practices.
Conduct architecture and code reviews.
Drive innovation through AI adoption.
Build analytics capability across the organisation.
Required Technical Skills
Cloud Data
AWS
Redshift
Glue
S3
Lambda
EC2
AI ML
SageMaker
Amazon Bedrock
LLMs
Prompt Engineering
Machine Learning
Python
Scikit-learn
Pandas
Programming
SQL (Advanced)
Python
Reporting
Amazon QuickSight
Power BI
Excel (Advanced)
Databases
SQL Server
Redshift
Business Knowledge
Experience in one or more of the following
Gold Loans
Personal Loans
MSME Lending
Loan Origination
Collections
Risk Analytics
Customer Analytics
Branch Performance
Cross Sell Analytics
Portfolio Management
Regulatory Reporting
NBFC or Banking domain experience is preferred.
Leadership Competencies
Strategic thinking
Stakeholder management
People leadership
Problem solving
Innovation mindset
Excellent communication skills
Project management
Agile methodologies
Decision-making under ambiguity
