Senior, Business Intelligence Engineer

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior, Business Intelligence Engineer based in United States. This role offers the opportunity to strengthen the quality, reliability, and strategic value of Go-to-Market data within a remote-first environment. You will design and maintain robust business data models that power sales analytics, reporting, data science, and AI capabilities. The position combines advanced analytics, data engineering, visualization, and business intelligence automation. You will help evolve BI practices toward scalable, code-based and AI-enabled solutions while ensuring critical business metrics remain consistent and trusted. Working closely with Sales, Marketing, Finance, Product, and other stakeholders, you will translate complex requirements into actionable data solutions. This is a high-impact role for an experienced data professional who enjoys improving data quality, enabling better decisions, and mentoring others. Accountabilities: - Analyze large and complex datasets using advanced analytical techniques to generate actionable insights and recommendations that improve revenue operations efficiency. - Develop and maintain automated data reconciliation, monitoring, quality checks, and testing frameworks to identify discrepancies and ensure the accuracy of critical reports and dashboards. - Build clear, compelling data visualizations that make complex insights accessible and actionable for technical and business audiences. - Design, build, and maintain robust data models that support Go-to-Market analytics, reporting, data science, and AI initiatives. - Drive BI-as-code practices by treating dashboards and semantic layers as code and leveraging Git, automated testing, and CI/CD pipelines to create reproducible, version-controlled, and scalable data infrastructure. - Partner with Sales, Marketing, Finance, Product, and other cross-functional teams to understand business needs and translate them into reliable analytical solutions. - Establish, document, and reconcile critical business metrics to improve organization-wide data consistency and alignment.

- Identify opportunities to enhance data quality, reporting processes, analytics tools, and overall business intelligence capabilities. - Contribute to the development of data culture and best practices while sharing knowledge and mentoring colleagues. Requirements: - At least 5 years of professional experience in business intelligence, analytics engineering, data engineering, or a related discipline, preferably supporting Go-to-Market or sales analytics within a SaaS environment. - Strong experience with business intelligence platforms such as Tableau, particularly for executive reporting and sales analytics. - Advanced SQL skills and hands-on experience designing and implementing data models. - Proven ability to work with cross-functional stakeholders to define, document, reconcile, and standardize critical business metrics. - Demonstrated experience implementing data quality, testing, CI/CD, and data observability frameworks. - Strong technical communication and mentorship skills, with the ability to explain complex technical concepts to diverse audiences. - Bachelor’s or Master’s degree in a quantitative field such as Computer Science, Engineering, Mathematics, or Economics is preferred. - Software engineering mindset applied to data, including familiarity with code reviews, automated testing, and development environment separation. - Experience with code-based BI and semantic tools such as Looker/LookML, dbt, Cube. js, or Apache Superset is desirable. - Strong proficiency with Git and CI/CD tools such as GitHub Actions, GitLab CI, or Jenkins. - Experience with AI products and tools such as Claude, Cortex, Glean, or Gemini is a plus. - Familiarity with Go-to-Market technology stacks such as Salesforce and Gong is preferred.