Senior Business Intelligence Developer

Supplier.io is the end-to-end supplier data platform built for enterprise procurement. Trusted by over half of the Fortune 100, we give procurement teams the intelligence, tools, and workflows they need to know their supply chain, source smarter, and prove their impact — across every dimension that matters.

Our platform brings together vendor master data management, supplier discovery and vetting, spend analytics, compliance tracking, carbon and sustainability reporting, and diversity intelligence — all in one place. With a continuously updated database of millions of suppliers enriched from trusted sources, and historical data, supplier.io delivers the depth and accuracy that enterprise procurement demands.

From enriching vendor master data, sourcing alternate suppliers, tracking Scope 3 emissions, or demonstrating the economic impact of supply chain spend in communities, supplier.io transforms complexity into clarity. With over 20 years of industry experience baked into our platform, and a team dedicated to customer success, we don't just give data — we give customers the confidence to lead.

Join a company at the forefront of enterprise procurement intelligence — where innovation, inclusion, and impact aren't trade-offs. They're the whole point.

Join a company committed to innovation, inclusion, and making a difference one sourcing decision at a time. For more information, visit www.supplier.io.

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