Develop a deep understanding of R1's analytics and reporting library, with a focus on business purpose, data model structure, data elements, and visualizations
Design and maintain Snowflake semantic views and models that empower business users to self-serve and query trusted, governed data without depending on a developer for every request
Maintain and develop Snowflake backend SQL queries, functions, and stored procedures
Build and enhance reporting across multiple channels — Power BI dashboards as well as self-service HTML and web-based reports that put trusted data directly in stakeholders' hands
Apply development best practices across the stack, focusing on maintainability, performance efficiency, accuracy, and reusability
Leverage AI agents and AI-assisted tooling — including Claude, Snowflake Intelligence, and MCP (Model Context Protocol) integrations — to accelerate development, optimize queries, generate documentation, design semantic models, and strengthen QA, while helping the team adopt and refine these practices
Manage development work within an Agile/sprint framework using Azure DevOps (ADO), and maintain clean, well-documented code using GitHub version control
Work directly with leadership to shape project roadmaps and timelines through to completion
Perform quality assurance throughout development to ensure data integrity is maintained
Provide frequent, clear progress updates to leadership and stakeholders so deadlines and expectations are consistently met
Proactively communicate roadblocks that may delay progress
Serve as a technical resource and mentor to fellow developers, contributing to team standards and best practices
Be a team player with a self-driven, positive attitude while supporting the BI team's initiatives.
Requirements
3–5 years of experience in a BI/Power BI developer role, building and managing business intelligence and reporting solutions
Strong expertise in Snowflake SQL and Microsoft Power BI, including designing semantic models/views for self-service analytics
Advanced DAX skills for building robust, scalable reporting and analytics solutions
Experience with AI-assisted development, AI agents, and MCP integrations to improve BI development workflows and delivery speed
Experience working in an Agile environment using Azure DevOps (ADO) for sprint planning and backlog management
Proficiency with GitHub version control, along with strong attention to detail, documentation habits, and quality assurance discipline
Strong communication and collaboration skills, with the ability to thrive in a fast-paced, matrixed environment, and a growth mindset — eager to take on increasing ownership, mentor others, and expand their impact over time; healthcare/revenue cycle experience preferred.