We are looking for an experienced BI Engineer with strong expertise in Power BI, SSRS, SQL, and data analytics to join our Digital Products & Data Analytics engineering team. The ideal candidate will have extensive experience developing enterprise-grade dashboards, reports, and business intelligence solutions that enable data-driven decision-making. The role requires strong analytical capabilities, hands-on reporting experience, and the ability to work independently in a fast-paced Agile environment. Requirements Key Responsibilities Design, develop, and maintain interactive Power BI dashboards and enterprise reporting solutions. Build visually compelling, scalable, and performance-optimized Power BI reports. Develop and maintain SSRS reports to support business reporting requirements. Work closely with business stakeholders to gather reporting requirements and translate them into effective BI solutions. Write complex SQL queries, stored procedures, and optimize database performance. Perform data analysis and validate data quality to ensure reporting accuracy. Develop and support ETL processes for data extraction, transformation, and loading. Work with structured and large-scale datasets to support analytics and reporting initiatives. Collaborate with Data Engineering, Product, and Business teams to deliver high-quality reporting solutions. Troubleshoot report performance issues and implement optimization techniques. Participate in Agile ceremonies including sprint planning, backlog refinement, stand-ups, and retrospectives. Maintain documentation, reporting standards, and development best practices. Required Technical Skills Power BI Strong hands-on experience developing Power BI reports and dashboards. Expertise in creating interactive visualizations and analytical dashboards. Experience with Power BI data modelling. Strong knowledge of DAX. Experience with Power Query (M Language). Ability to optimize dashboard performance. SSRS Strong experience developing enterprise SSRS reports. Experience creating parameterized reports. Report deployment and maintenance. Report optimization and scheduling. SQL Excellent SQL programming skills. Strong analytical and problem-solving abilities. Experience writing complex SQL queries. Stored Procedures. Views. Joins. Performance tuning. Good to Have Skills Experience working in Banking or Financial Services. ETL development experience. Hands-on experience with PySpark. Exposure to Data Engineering concepts. Experience working with large enterprise datasets. Required Competencies Strong analytical and logical thinking. Excellent problem-solving skills. Ability to work independently with minimal supervision. Quick learner with the ability to adapt to new technologies. Strong communication and stakeholder management skills. Ability to manage multiple priorities in a fast-paced Agile environment. Strong ownership mindset and attention to detail. Preferred Domain Experience Banking Financial Services Digital Products Data & Analytics