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 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 Youll Need to Succeed

Bachelors degree in computer science Engineering Mathematics Statistics or a related field.

57 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 youre 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

Required Experience:

Senior IC