Senior, Business Intelligence Engineer

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.
• Ability to promote data-driven practices and establish strong data culture within a fast-paced technology organization.

Benefits:

• Remote position within the United States, with hiring restrictions in California, Connecticut, New Jersey, New York, Pennsylvania, and Washington.
• Estimated salary ranges vary by location: $116,960–$146,200 in Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, Vermont, and Washington D.C.; $123,760–$154,700 in New York, New Jersey, Washington State, and California outside the San Francisco Bay Area; and $137,520–$171,900 in the San Francisco Bay Area.
• Potential eligibility for an equity plan and corporate bonus plan.
• Health care insurance.
• 401(k) retirement savings plan.
• Paid sick time and personal time off.
• Paid parental leave.
• Generous time off and wellness leave.
• Occasional travel for project, customer, or team meetings.
• Remote-first working environment with opportunities for in-person team connection.