Top Business Intelligence Engineer Jobs in San Francisco, CA

As a Business Intelligence Engineer, you'll build SQL-based pipelines, develop dashboards, and communicate insights from healthcare data to stakeholders.

The Business Intelligence Developer will build scalable data models, develop KPIs, optimize BI tools, and translate insights for strategic decision-making across departments.

As a Business Intelligence Engineer, you will collaborate with teams to design BI solutions, enhance data literacy, and create visualizations for actionable insights.

The Business Intelligence Engineer will automate data processes, develop dashboards using Power BI, and collaborate on analytical resources within the Clinical Analytics team.

The Revenue Cycle BI Developer will design and implement data extraction solutions, conduct data analysis, and support reporting needs using various BI tools.

The Business Intelligence Developer collaborates to identify analytics gaps, designs scalable data models, and delivers dashboards and insights, optimizing existing resources while ensuring accuracy and accessibility.

The Power BI Developer will create reports and dashboards, manage Power BI services, connect data sources, and ensure data visualization meets user needs while maintaining security and compliance.

As a Senior Business Intelligence Engineer, you'll collaborate with various teams to enhance decision-making through data insights, manage data pipelines, and ensure data quality while delivering impactful dashboards.

Lead development of analytics platforms at GameChanger, enhance BI tools, define metrics, and contribute to data modeling for insights.

The role involves designing BI solutions, maintaining data models, developing visualizations, and collaborating with stakeholders to drive data-driven decisions.

The Staff Engineer will focus on finance data analysis and modeling, contributing to innovations that improve customer experience and business performance.

The Analytics Engineer will build data models and pipelines for reporting and analytics, improving data infrastructure for ML and AI products, and setting processes for data collection and analysis.

The BI Developer will create dashboards and reports, integrate data, optimize performance, and collaborate with teams to support data-driven decisions in Sharecare's Carelinx line of business.

The Lead Business Intelligence Engineer designs data pipelines and ETL processes, ensuring data management and accessibility to solve complex business problems.

The Business Intelligence Engineer collaborates with stakeholders to gather reporting requirements, develop solutions, and provide data-driven insights using various data sources, while ensuring high-quality service delivery and effective communication.

Design, build, and optimize data warehousing and business intelligence infrastructure. Collaborate with teams, support ETL workflows, and ensure data quality and governance.

As a Business Intelligence and Analytics Engineer, you will develop data tools, ensure data quality, deliver analytical insights, and collaborate with cross-functional teams to empower data-driven decision-making.

The Senior Analytics Engineer will translate data into actionable insights, lead BI design, develop dashboards, and ensure data quality standards while facilitating training across divisions.

The Lead Data Engineer is responsible for designing, developing, and maintaining ETL pipelines to manage financial data, ensuring compliance and business intelligence.

As a Staff Engineer in BI Reporting at Nagarro, you will utilize your coding skills to address client challenges and guide your team towards effective solutions, while also pushing for continuous improvement in outcomes.

Develop backend services for client reporting, improve code quality, mentor peers, and collaborate on architecture and user features in a high-impact team.

This role involves leveraging your technical knowledge to help teams tackle client challenges and enhance solutions for better success.

As a BI/Data Engineer, you will build and manage SQL models, consolidate ML pipelines, and create reports to support business decisions.

The Sr. BI Engineer will oversee the data lifecycle, architect data pipelines, ensure data governance, and partner with stakeholders for analytics, using SQL, Snowflake, Python, and Tableau.

Design, develop, and maintain data warehouse and analytics architecture for business analysis and reporting needs. Collaborate with business users and manage projects effectively.