Senior Business Intelligence Developer

The Opportunity

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.

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's 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.

What You'll Need to Succeed

·       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