Senior Business Intelligence Developer

Job Summary

We are seeking an experienced Senior Business Intelligence (BI) Developer to lead the design, development, and optimization of enterprise-grade BI solutions. This role will play a critical part in transforming data into actionable insights through advanced data modeling, visualization, and stakeholder engagement.

Reporting To

Position reports to: Team Lead - Business Intelligence

What You Will Do

• Partner with business stakeholders, product owners, and US-based leadership to gather, interpret, and translate complex business requirements into scalable, high-impact BI solutions.
• Design and develop robust, reusable, and optimized data models using Power BI and enterprise data sources.
• Design, develop, and maintain Microsoft Fabric solutions including Lakehouse, Warehouses, Data Pipelines, Notebooks, and Semantic Models, with OneLake as the unified data foundation.
• Build and deploy AI-powered analytics solutions including predictive modeling, Copilot integration, and intelligent reporting to help advance supplier.io next-generation analytics offering.
• Leverage Fabric Data Science capabilities and AI/ML frameworks to deliver forward-looking insights that move the business beyond descriptive reporting.
• Design and implement Real-Time Analytics solutions using Fabric Event Streams and KQL databases where applicable.
• Lead the end-to-end BI solution lifecycle: requirements analysis, solution design, development, testing, deployment, support, and continuous improvement.
• Develop and optimize Power BI reports, DAX calculations, Power Query transformations, and Fabric workloads for performance and scalability.
• Collaborate with Data Engineering teams to integrate data from Azure, Microsoft Fabric, Snowflake, SQL Server, APIs, and other enterprise data sources.
• Use Figma or similar tools to design intuitive dashboard wireframes and user-friendly layouts grounded in UX/UI best practices.
• Perform advanced analytics including trend analysis, forecasting, and data-driven storytelling for executive and client audiences.
• Troubleshoot complex BI issues and deliver sustainable, well-documented solutions.
• Stay current with emerging technologies in Power BI, Microsoft Fabric, AI-powered analytics, and cloud data platforms.

Requirements

• Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, or a related field.
• 5-7 years of experience in Business Intelligence, with a strong focus on Power BI.
• Prior experience in a SaaS company supporting enterprise client services is strongly preferred; you understand how to build analytics that serve external customers, not just internal teams.
• Exceptional interpersonal and communication skills; you're comfortable presenting to and collaborating with senior business partners and client stakeholders based in the US, translating technical concepts into clear business language.
• Strong expertise in Power BI (DAX, Power Query, Semantic Modeling, Data Visualization, performance tuning, Report and Dashboard Development).
• Hands-on experience with Microsoft Fabric including Lakehouse, Warehouse, Data Factory Pipelines, Semantic Models, Real-Time Analytics, and OneLake in enterprise environments.
• Demonstrated experience applying AI and ML capabilities to analytics: predictive analytics, Copilot integration, AI-driven insights, or intelligent automation within BI workflows.
• Solid understanding of data warehousing concepts including Star Schema, Snowflake Schema, and ETL/ELT.
• Experience integrating Microsoft Fabric with Azure services, Snowflake, Databricks, APIs, and other enterprise data platforms.
• Advanced Power BI development: datasets, dataflows, composite models, incremental refresh, Deployment Pipelines, Shared Semantic Models.
• Strong SQL skills and experience with relational databases.
• Familiarity with version control tools such as Git.
• Strong analytical and problem-solving skills with an ability to turn ambiguous business needs into concrete, data-driven solutions.

Nice to Have

• Experience using Figma or similar tools for dashboard design and wireframing.
• Understanding of data governance, row-level security (RLS), and enterprise data compliance.
• Exposure to Python or other scripting languages for analytics workflows.
• Understanding of UX/UI principles in data visualization.
• Experience working in Agile or Scrum environments.
• Experience across multiple clients or consulting engagements, especially in enterprise SaaS or professional services contexts.
• Knowledge of data warehouse design methodologies including Dimensional Modeling.

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