Top Business Intelligence Engineer Jobs in San Francisco, CA

The Business Intelligence Engineer will analyze data from various sources, identify performance trends, provide actionable insights, and influence decision making by presenting data-driven recommendations to leadership and cross-functional teams. Responsibilities include creating dashboards, supporting auction campaigns with real-time analysis, and proposing data-centric strategies to enhance business performance.

The Sr. Specialist, Business Intelligence Engineer will analyze data to assist business decision-making, identify performance trends, collaborate with cross-functional teams, create insights and reports, and build dashboards to optimize advertiser performance. They will help leadership with actionable recommendations and influence decision-making through data storytelling.

As a Senior Business Intelligence Data Engineer, you will design, develop, and manage scalable ETL pipelines, optimize data models, and build monitoring solutions for data quality. You will collaborate with product teams, standardize metrics, and create tools for self-service data analysis.

As a Senior Analytics Engineer at Vouch, you will architect and optimize data models using tools like dbt and SQL. You will collaborate with business stakeholders and engineering teams to ensure data quality, maintain data models, and support a data-driven culture within the company. Your role will include documentation, troubleshooting data issues, and promoting best practices in data management.

The Senior Analytics Engineer will translate business needs into technical specifications and build analytics solutions. Responsibilities include creating analytical data models, developing dashboards and reports, providing support for analytics tools, and maintaining data systems while collaborating with cross-functional teams to ensure data integrity and actionable insights.

As a Senior Analytics Engineer at Mux, you will manage and optimize the internal data warehouse using dbt and SQL, ensuring data accuracy and reliability. You will work closely with engineers and stakeholders to understand data lifecycles, build and maintain data models, and contribute to the business intelligence ecosystem with tools like Looker.