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