Senior, Business Intelligence Engineer

Role overview

Strengthen the quality, consistency, and strategic value of go-to-market data used for sales analytics, reporting, data science, and AI. This business intelligence engineering role focuses on robust data models, trusted metrics, automated reconciliation, and reproducible analytics infrastructure. The successful candidate will work across Sales, Marketing, Finance, Product, and other stakeholders to turn business requirements into reliable, scalable decision-support systems.

Responsibilities

- Analyze large datasets to identify revenue-operations insights and provide recommendations that improve business performance. - Build and maintain data models supporting go-to-market reporting and strategic analysis. - Develop automated reconciliation, data-quality checks, testing, and observability practices to detect discrepancies before they affect reports or dashboards. - Create clear visualizations and executive-facing analytics that make complex findings actionable for varied audiences. - Treat dashboards and semantic layers as code by using version control, automated testing, and CI/CD pipelines to make BI infrastructure reproducible and scalable. - Collaborate with cross-functional teams to define, document, reconcile, and standardize critical business metrics, while mentoring others and improving analytics practices.

Requirements

- At least 5 years of experience in business intelligence, analytics engineering, data engineering, or a related discipline; experience with go-to-market or sales analytics is preferred. - Experience with business-intelligence platforms such as Tableau, particularly for executive reporting and sales analysis. - Advanced SQL skills and hands-on experience designing data models. - Demonstrated ability to align stakeholders around shared definitions for important business metrics. - Track record implementing data-quality, testing, CI/CD, or data-observability frameworks. - Strong technical communication and mentoring skills, with the ability to explain complex concepts to different audiences.

Nice to have

- A degree in a quantitative discipline such as computer science or a related field. - Experience with code-based BI or semantic tools, including LookML, dbt, Cube.js, or Apache Superset. - Strong Git and CI/CD skills, plus familiarity with AI products or go-to-market systems such as CRM and sales-intelligence platforms. - Experience promoting data culture and analytics best practices in a fast-moving technology organization.

Benefits and work setup

The role is remote, with hiring restrictions in California, Connecticut, New Jersey, New York, Pennsylvania, and Washington. Occasional travel may be required for project or team meetings. The source describes healthcare, retirement savings, paid time off, parental and wellness leave, and possible equity or bonus eligibility, with offerings varying by location.