Top Business Intelligence Jobs in San Francisco Bay Area, CA

Architects and develops the enterprise BI semantic layer, including governed data models, reusable datasets, business metrics, data-level security, and performance optimization. Establishes modeling, documentation, certification, and lifecycle standards; partners with data engineering, architecture, BI developers, and business owners to deliver scalable reporting solutions. Evaluates emerging BI and AI-driven analytics capabilities, mentors developers and self-service users, and ensures consistent, secure, trusted data across the organization.

Leads technical operations for analytics and business intelligence systems. Designs architectures and solutions across data warehouses, BI tools, APIs, AWS, and Talend; oversees system changes, monitoring, security audits, and technical debt remediation. Collaborates across departments, implements coding standards, identifies downstream impacts, and mentors team members developing reporting applications.

Develops and maintains Power BI and Microsoft Power Platform solutions in secure government environments. Responsibilities include gathering requirements, analyzing data, creating visualizations and process models, coordinating enterprise platform initiatives, documenting systems, developing and executing test plans, troubleshooting issues, supporting deployments, and training end users. The role requires an active Secret clearance, security certification, extensive Power BI and Power Platform experience, and occasional travel under 10%.

Leads Duck Creek Technologies’ Intelligence function, overseeing analytics engineering, business intelligence, reporting, dashboards, metrics, and insight generation. Builds scalable analytics platforms and governance standards, partners with product, AI, engineering, and business leaders, and translates complex data into actionable recommendations. Manages analytics teams and advances enterprise data-driven decision-making, operational performance, and product development.

Develop and support enterprise business intelligence and data solutions using Power BI, Microsoft Fabric, Power Query, DAX, SQL, automation, and AI technologies. Responsibilities include data transformation, modeling, visualization, reporting, governance, integration, semantic model development, and citizen development enablement. The role collaborates with business and technical teams, mentors users, supports enterprise data architecture, and promotes scalable, secure, high-quality BI practices.

Create client-facing analyses and reusable data products for Product, Analytics, Client Success, and Sales teams. Analyze large healthcare datasets to identify behavioral patterns among medical professionals, automate code, and communicate insights to technical and non-technical stakeholders. The role combines SQL, Python-based exploratory data analysis, data visualization, stakeholder collaboration, and opportunities to grow into presentation-focused or advanced technical work.

Designs, develops, and maintains Domo-based business intelligence solutions, dashboards, reports, semantic models, and automated analytics. Analyzes data from multiple sources, ensures data quality and governance, translates stakeholder requirements into scalable reporting solutions, and communicates insights to technical and business audiences. The role also supports reporting automation, testing, documentation, continuous improvement, and Jira-based delivery coordination.

Develops business intelligence solutions by collecting, integrating, analyzing, and presenting data from internal and external sources. Designs data models, taxonomies, schemas, and governance rules; builds Power BI and Power Apps solutions; develops front-end interfaces; and provides actionable insights to decision-makers. The role requires independent technical judgment, performance tuning, and collaboration across healthcare-related systems. It is fully remote with Central or Eastern Time Zone hours and occasional office travel.

Leads and rebuilds the enterprise analytics and business intelligence function across an 11-brand organization. Owns analytics strategy, measurement governance, revenue flow-through modeling, forecasting, executive reporting, platform roadmap input, and vendor relationships. Builds a multi-tier analytics team, develops operating models and quality standards, and connects marketing, enrollment, utilization, operational spending, and EBITDA outcomes. Partners with executive leadership, finance, marketing, operations, product, and digital teams to guide investment and strategic decisions.

Develops business intelligence reports, visualizations, and application scripts using data from multiple sources. Gathers requirements, presents solutions, conducts user testing, validates data integrity, supports BI tool users, and identifies opportunities to improve analytics processes. The role collaborates with internal and external stakeholders and adapts reporting solutions to evolving business needs.

Develop Power BI and Tableau dashboards, scalable data models, reporting solutions, automation workflows, and actionable analyses using financial, operational, Salesforce, RF, and video performance data. Monitor hybrid terrestrial and satellite delivery systems with tools such as Skyline DataMiner, identify trends and anomalies, and collaborate with stakeholders to deliver business intelligence solutions. The role requires strong communication, business acumen, SQL, Azure, XML, and ETL/ELT expertise.

Provides business intelligence consulting by gathering requirements, defining KPIs, and designing dashboards in Power BI and Amazon QuickSight. Builds data models, calculated measures, row-level security, and scalable reporting solutions; validates data quality and performance; documents metadata and lineage in Atlan; trains users; and collaborates with data engineers on data structures and pipelines.

Analyzes data from multiple sources to identify trends, develop member segmentation and lifecycle models, support competitive analysis, and recommend strategies for improving member participation and financial products. Builds reports, dashboards, and data-driven tools for leaders and staff, collaborates with stakeholders, trains power users, and provides ongoing analytical support using SQL, R or Python, ETL, data modeling, and business intelligence tools.

Own end-to-end reconciliation and financial reporting across card networks, processors, banks, and internal ledger data. Build SQL-based reports, dashboards, exception queues, metrics, and automated controls; investigate discrepancies and root causes; improve data pipelines and processes; support month-end close, audits, and regulatory reporting; and partner with Engineering, Product, Accounting, Treasury, Tax, and Compliance. Mentor analysts and guide responsible AI use.

Owns Power BI reporting and analytics for Digital, including internal dashboards, campaign pacing, client-facing intelligence products, contact data health, and data delivery monitoring. Builds DAX reporting logic, automated alerts, budget tracking, segmentation, benchmarking, and trend analysis. Partners with IT, Data Engineering, CRM, and audience teams while transitioning an externally developed platform in-house. Serves as the senior reporting subject matter expert for stakeholder and client-facing analytics.

Designs and maintains executive dashboards, reports, semantic models, and automated analytics solutions using Power BI. Defines enterprise KPIs, data standards, and business rules while integrating data from ERP, CRM, manufacturing, SQL, and cloud systems. Partners cross-functionally with senior leaders to deliver insights, improve data quality, support master data management, and enable scalable self-service analytics and data-driven decision-making.

The Business Intelligence Engineer manages enterprise data sources, supports data quality and governance, and translates transactional data into KPIs for business teams. Responsibilities include guiding analyst teams, handling data inquiries, supporting advanced analytics, monitoring data performance, defining data requirements with stakeholders, and presenting findings to technical and non-technical audiences. The role requires SQL, Tableau, relational database, and data modeling or analytics expertise.

Freelance Business Intelligence Analyst supporting the Marketing Science team during leave coverage. Responsibilities include managing Snowflake data, developing campaign dashboards and reports, forecasting performance, integrating digital marketing data, validating tracking and data quality, building SQL transformations, automating analysis with Python, and translating findings into stakeholder-ready recommendations and presentations.

Freelance Business Intelligence Analyst responsible for campaign measurement planning, KPI projections, data management, database administration, dashboard development, media performance analysis, and client-facing storytelling. The role manages Snowflake and Tableau data systems, ensures tracking accuracy and data hygiene, integrates advertising and behavioral data, and provides optimization recommendations. Requires strong SQL, Python, analytics, visualization, communication, and technical troubleshooting skills.

Build and maintain data pipelines, SQL queries, data models, database structures, and centralized data warehouse capabilities. Clean and validate data, develop reporting datasets and solutions, support KPI tracking and historical analysis, and collaborate with Finance and Revenue Operations. Investigate data gaps, troubleshoot integrations, and independently deliver reliable technical solutions.

Develops, validates, documents, deploys, and maintains Amazon QuickSight dashboards in a secure CMS environment. Translates stakeholder requirements into interactive visualizations, performs SQL-based ETL and data-quality validation, supports Tableau analytics, manages UAT and dashboard lifecycles, troubleshoots technical issues, and documents data workflows. The role collaborates with analysts, data scientists, CMS stakeholders, QIO staff, and other teams while supporting healthcare and regulated data initiatives.

Supports the development and maintenance of Qlik dashboards, reports, and data visualizations. Performs data analysis, validates reporting outputs, identifies trends and anomalies, translates business requirements into reporting solutions, troubleshoots data issues, and helps maintain metrics and KPIs. Collaborates with business stakeholders and develops knowledge of organizational data sources, business intelligence practices, and data governance standards.

Develop and support enterprise BI and data solutions using Power BI and Microsoft Fabric. Responsibilities include building dashboards, reports, data pipelines, ETL/ELT workflows, analytical models, and curated datasets; validating data quality; troubleshooting pipeline issues; documenting data lineage and metrics; and collaborating with technical teams and organizational leaders to deliver trusted, scalable analytics.

Own executive, board, investor, financial, and operational reporting for leadership. Build scalable dashboards, define consistent KPIs, reconcile data across systems, investigate performance changes, and translate complex business questions into actionable insights. Partner with Strategy, Finance, and senior leaders to automate recurring reporting, improve data accuracy, and support actuals-versus-budget-versus-forecast analysis.

The Senior Data Analyst will develop and improve Sigma dashboards, reporting, and business intelligence capabilities. Responsibilities include gathering stakeholder requirements, querying and analyzing complex datasets with SQL, improving data quality and governance, defining metrics, automating reporting processes, and partnering on Snowflake data modeling and warehouse improvements. The role also evaluates analytics tools, delivers actionable insights, and communicates findings to technical and non-technical audiences.