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
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Design, develop, and maintain interactive Power BI dashboards and reports
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Develop and maintain SSRS reports for enterprise reporting requirements
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Write complex SQL queries for data extraction, transformation, and analysis
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Analyze business requirements and translate them into scalable reporting solutions
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Work closely with data engineering and business teams to deliver reporting and analytics solutions
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Optimize report performance and ensure data accuracy
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Troubleshoot reporting issues and implement enhancements
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Support data visualization initiatives across Digital Products & Analytics teams
Mandatory Skills
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5–8 years of relevant experience in Business Intelligence and Reporting
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Strong hands-on experience in Power BI Report & Dashboard Development
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Strong experience in SQL Server Reporting Services (SSRS) Development
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Strong SQL programming and analytical skills
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Excellent understanding of data analysis and reporting concepts
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Ability to work independently with minimal supervision
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Quick learner with strong problem-solving abilities
Preferred Skills
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Experience in PySpark for ETL/Data Engineering activities
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Exposure to Data Engineering concepts and ETL pipelines
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Experience working in the Banking or Financial Services domain
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Knowledge of enterprise data warehouse environments is an advantage
Experience
5–8 Years
Ideal Candidate
We're looking for someone who:
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Has excellent Power BI development expertise
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Is highly proficient in SSRS development
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Possesses strong SQL and analytical skills
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Can independently own reporting deliverables
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Learns quickly and adapts to new business requirements
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Has exposure to PySpark-based ETL processes (preferred)
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Has prior banking domain experience (preferred)
