Top Business Intelligence Jobs in San Francisco Bay Area, CA

Lead Data Analyst responsible for advanced analytics, real-time dashboards, capacity modeling, and network performance insights. Collaborates with stakeholders to identify inefficiencies, run tests and pilots, and deliver actionable recommendations to improve service provider performance and network operations.

Deliver business and data analysis for BI and data solutions, define and implement Reference Data Management, metadata, governance, and data quality capabilities. Work across database, ETL, datamart and reporting layers, create wireframes, support enterprise data integration, drive SLA/KPI commitments, and liaise with clients to translate business needs into data solutions.

The role involves monitoring and improving customer experience on Walmart.com using Tealeaf, project managing initiatives, and analyzing data to inform business decisions.

As the Lead BI Engineer, you will build the analytical infrastructure for data-driven decision-making, design scalable data models and dashboards, implement BI tools, and ensure data quality. You'll partner with various teams to define KPIs and insights, setting the direction for future BI efforts and team growth.

The Business Analyst will analyze financial data, create business requirements, and contribute to various projects within the team, requiring strong data warehouse and banking experience.

The Power BI Developer will build enterprise data models, develop and publish reports and dashboards, assist users with data requirements, and work on Azure technologies to support government initiatives.

Lead CT's BI function by maintaining KPI dashboards and data infrastructure, delivering MBR/QBR metrics and financial analysis, building cost and demand forecasting models, partnering across data, engineering, and operations, and tracking AI automation impact to inform leadership decisions and vendor staffing.

The Business Analyst acts as a liaison between the client and technical teams, analyzing complex business problems, developing requirements, and providing training. Key duties involve working with BI/DW teams, understanding data warehousing concepts, and assisting users with analytics tools.

The Senior Business Intelligence Analyst will transform data into insights, design dashboards, and provide analytical support for strategic decisions, working closely with stakeholders and teams.

The Senior BI Analytics Engineer will design and deliver data models for analytics, ensuring data quality, and collaborating across teams to enhance AI-driven reporting and querying capabilities.

Design, develop, and maintain enterprise Power BI dashboards and reports. Integrate data from SQL Server, Azure, Excel and other sources, perform data modeling and DAX calculations, validate data, and document data models and reporting logic while partnering with business stakeholders.

Design, develop, and maintain Snowflake-backed semantic models and Power BI reports; build SQL queries, functions, and stored procedures; use AI-assisted tooling (Claude, MCP) to accelerate BI development; manage work in Azure DevOps, version control with GitHub; ensure QA, documentation, stakeholder communication, and mentor fellow developers.

Embed as the primary product analytics partner on a digital product team. Define measurement plans, KPIs, funnels, build Power BI dashboards, analyze member behavior and funnel drop-off, design and interpret A/B tests, write SQL and Python for analysis and automation, and translate findings into clear product recommendations.

Architect and scale a governed BI and analytics platform (Snowflake, dbt, Sigma) to deliver trusted, standardized KPI frameworks and semantic layers. Build high-quality data models, optimize SQL for large datasets, enable self-serve analytics, mentor engineers, drive governance and testing standards, and partner with Product, Data Science, Finance, and business teams. Promote AI-assisted tooling to accelerate analytics delivery and improve metric trust and reporting consistency.

Lead BI architecture and solution design; build and optimize Power BI and Tableau semantic models; write and tune DAX, Power Query, and SQL; architect dimensional data models; define governance, CI/CD, and deployment standards; partner with data engineering; drive self-service BI and mentor BI developers.

Design, develop, and deploy Power BI reporting and analytics on Snowflake. Migrate OBIEE reports to Power BI, build data models and ETL/ELT pipelines, write DAX and SQL, optimize report performance, ensure data quality, and support stakeholders with documentation and ongoing support.

Senior Power BI developer responsible for building dashboards, scorecards, and analyses that deliver actionable insights. Partner with stakeholders and data architecture to join disparate datasets, ensure data quality, perform ETL, apply advanced DAX/Power Query and SQL, and present recommendations to senior leadership to drive KPI improvements.

Lead BI reporting and advanced analytics to optimize marketing campaigns and ROI. Build dashboards, manage multi-source data, ensure data governance, provide actionable insights, mentor juniors, and partner with cross-functional teams to guide strategy.

Lead BI partner for product teams to design and maintain scalable data pipelines, dbt transformations, data marts, and observability. Translate business needs into analytical frameworks, support A/B testing and ML feature engineering, collaborate on data governance, and champion CI/CD and best practices for analytics engineering.

The BI Analyst will create insights and visualizations, develop dashboards and reports, and collaborate with product teams to optimize business intelligence solutions.

The Business Intelligence Data Analyst II supports reporting, dashboards, and data-driven insights, working closely with Business Intelligence and Data Engineering teams. Responsibilities include optimizing data structures, leading data modeling, collaborating on requirements, and monitoring data feeds.

Design, build, and maintain scalable data models, semantic layers, and dashboards. Partner with stakeholders to translate business needs into reliable BI products, enforce data quality and governance, build dbt models, optimize performance, and integrate AI-assisted tooling to accelerate analytics workflows.

As a Business Intelligence Analyst, you will manage analytics projects, build dashboards and reports using SQL and Snowflake, and work with stakeholders to translate data needs into actionable insights.

The RevOps BI Architect designs and maintains BI platforms, creates dashboards, optimizes reporting performance, and ensures data clarity for revenue operations teams.

The BI Reports Developer designs and maintains BI reports and dashboards, collaborates with stakeholders for reporting needs, analyzes data for trends, and ensures data validation.