06 Aug
|
NuSummit
|
Mumbai
Data Analytics – BI Lead
Mandatory Skills: Power BI Developer, SQL, Cloud Services (AWS/Azure), Data Modeling, Data Warehousing, Data Visualization, Databricks.
Industry: Financial Services
Domain: Wealth Management/Capital Market/ Investment Banking
Role Summary
The BI Lead – Data Analytics will lead the organization’s business intelligence and advanced analytics initiatives using the Databricks platform. The role will convert curated datasets from the enterprise data platform into dashboards, analytical models, and actionable insights supporting wealth management operations, portfolio analytics, and management reporting.
This role requires a hands-on analytics leader who can actively build data models, queries, and dashboards while guiding the analytics team and collaborating with business stakeholders.
Key Responsibilities
1. Analytics Architecture
Design and implement analytics frameworks using Databricks.
Build analytics-ready data models for reporting and business intelligence.
Optimize analytics workloads using Spark and SQL.
2.
Business Intelligence Development
Develop dashboards and analytics solutions for:
Sales & Distribution: Client acquisition analytics, AUM growth tracking, Relationship manager performance
Portfolio & Investment Analytics: Portfolio performance, Asset allocation insights, Product performance analytics
Operations: Trade monitoring, Settlement analytics, Client service metrics
Executive Reporting: Business performance dashboards, Revenue and profitability analytics
3. Advanced Analytics
Leverage Databricks capabilities for advanced use cases: client segmentation, product analytics, investment insights, predictive analytics
4. ML Lifecycle Management:
Manage the end-to-end lifecycle of analytical and ML models, including model experimentation, version control, model validation, deployment, monitoring.
Use Databricks ML capabilities (MLflow or similar frameworks) for model tracking and reproducibility.
5. Model Deployment & Integrat
📌 Business Intelligence Lead (Mumbai)
🏢 NuSummit
📍 Mumbai