01Overview
We are looking for an experienced BI Engineer with strong expertise in Power BI, SSRS, and SQL to join our Digital Products & Data Analytics team. The ideal candidate should have hands-on experience building enterprise-grade dashboards, reports, and analytical solutions while collaborating with business and technical stakeholders.
The candidate should be a quick learner, capable of working independently, and passionate about delivering high-quality BI solutions.
Requirements
Key Responsibilities
Design, develop, and maintain interactive Power BI dashboards and reports
Develop and maintain SSRS reports for enterprise reporting requirements
Write complex SQL queries for data extraction, transformation, and analysis
Analyze business requirements and translate them into scalable reporting solutions
Work closely with data engineering and business teams to deliver reporting and analytics solutions
Optimize report performance and ensure data accuracy
Troubleshoot reporting issues and implement enhancements
Support data visualization initiatives across Digital Products & Analytics teams
Mandatory Skills
58 years of relevant experience in Business Intelligence and Reporting
Strong hands-on experience in Power BI Report & Dashboard Development
Strong experience in SQL Server Reporting Services (SSRS) Development
Strong SQL programming and analytical skills
Excellent understanding of data analysis and reporting concepts
Ability to work independently with minimal supervision
Quick learner with strong problem-solving abilities
Preferred Skills
Experience in PySpark for ETL/Data Engineering activities
Exposure to Data Engineering concepts and ETL pipelines
Experience working in the Banking or Financial Services domain
Knowledge of enterprise data warehouse environments is an advantage
Experience
58 Years
Ideal Candidate
We're looking for someone who:
Has excellent Power BI development expertise
Is highly proficient in SSRS development
Possesses strong SQL and analytical skills
Can independently own reporting deliverables
Learns quickly and adapts to new business requirements
Has exposure to PySpark-based ETL processes (preferred)
Has prior banking domain experience (preferred) .
