Senior BI Developer - jobgether

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior BI Developer based in United States.

This role offers the opportunity to build trusted analytics solutions that directly support strategic business decisions and client success. You will own the full analytics lifecycle, from governed data models and enterprise metrics to impactful dashboards and reporting experiences. The position combines data modeling, business intelligence development, and advanced analytics practices within a modern cloud data environment. You will help establish a single source of truth for critical metrics, ensuring consistency across reporting, client solutions, and AI-driven applications. Working closely with technical and business stakeholders, you will transform complex data into clear insights that drive operational performance. This is a hands-on opportunity for an analytics professional who enjoys innovation, automation, and building scalable BI solutions in a collaborative environment.

Accountabilities:

As a Senior BI Developer, you will design, develop, and maintain enterprise analytics solutions while ensuring data accuracy, governance, and usability across business and client-facing platforms.

• Build and maintain trusted gold-layer data models and governed metrics layers within a cloud data warehouse using Snowflake and dbt.
• Define, document, and manage enterprise-wide metric definitions to create a consistent source of truth across analytics, reporting, and AI applications.
• Develop transformation logic within the warehouse to simplify downstream consumption and eliminate duplicated calculations across dashboards.
• Partner with data engineering teams to define clear boundaries between data pipelines and analytics-ready models.
• Design and deliver dashboards, reports, and analytics experiences using enterprise BI platforms.
• Translate business needs into scalable data models, meaningful metrics, and intuitive visualizations.
• Optimize dashboards and queries for performance, reliability, and usability across high-volume data environments.
• Apply strong BI design principles and recommend appropriate analytics approaches based on business objectives.
• Incorporate AI-assisted development tools and coding agents into daily workflows to improve productivity, documentation, testing, and delivery.
• Establish effective development environments, workflows, and standards for AI-enabled analytics development.
• Champion data quality, governance, automation, and continuous improvement across analytics solutions.
• Contribute to architecture decisions, reusable assets, and best practices for analytics delivery.

Requirements: