Top Business Intelligence Jobs in Los Angeles, 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.

Lead analytical studies to enhance Snap's SMC business, mentor a team of analysts, and develop data-driven strategies to inform growth and sales decisions.

Lead and build the Finance Business Intelligence function: set multi-year BI strategy, hire and develop engineers, data scientists, and analysts, deliver predictive models and AI-augmented finance analytics, establish governance and authoritative metrics, partner with Finance and CTO on tooling and data platform decisions, and operationalize intake and delivery for high-velocity, trusted finance intelligence.

Independent healthcare consultant responsible for statistical analysis, predictive modeling, BI/reporting, and data visualization. Use R, SAS, SPSS, Cognos, and Business Objects to deliver insights and maintain client relationships. Report to the Senior Consultant.

Transform data into actionable insights by building dashboards, reports, and visualizations. Partner with cross-functional teams and data engineering to ensure data quality, lineage, and AI-ready metadata. Audit datasets, define monitoring rules, document data dictionaries, pilot AI-assisted BI tools, and apply hypothesis-driven analysis to surface insights that inform business decisions.

Build AI-augmented BI dashboards, semantic layers, and AI-ready metadata. Use AI-assisted tools to accelerate SQL and dashboard development, productionize ML outputs into BI, enforce data quality and governance, and present insights to business stakeholders including C-suite.

Analyze healthcare and operational datasets to create, validate, and maintain reports and dashboards using SQL, Excel, and BI tools. Support utilization, cost containment, regulatory reporting, and ad hoc analyses. Collaborate with stakeholders to define requirements, document workflows, and deliver actionable recommendations.

Senior MicroStrategy developer responsible for developing reports, dashboards and documents, supporting BI/DW environments, analyzing systems, designing reporting strategies, working with business and IT teams, resolving user issues quickly, and supporting offshore developers in a development/support mix.

Senior MicroStrategy developer responsible for developing and supporting reports, documents and dashboards, analyzing systems, designing reporting strategy, working with IT and business users, managing offshore developers, and responding to production issues during off-peak hours and weekends.

Develop, maintain, and support MicroStrategy reports, documents and dashboards. Analyze existing systems, design data reporting strategy, work with IT and business teams, support DW/BI environment, respond to user issues and collaborate with offshore developers. Flexible hours and occasional weekends required.

Lead GTM strategy and analytics to build headcount/capacity models, territory optimization, quota setting, predictive models, and BI reporting. Partner with Sales, Marketing, Finance, and Data to inform planning cycles, monitor pipeline and productivity, and deliver executive-level insights for growth and investment decisions.

The BI Analyst will manage customer relationships within a business group to deliver reporting and analytics solutions, requiring strong communication and analytical skills.

As a Business Intelligence Analyst, you will analyze data sets, support BI solutions for various departments, and collaborate with stakeholders on requirements.

The Director of Business Intelligence will establish BI strategy, drive insights, and improve analytics infrastructure, partnering with various teams.

The Sr. Business Intelligence Engineer leads BI development, governs Power BI architecture, mentors developers, and ensures reliable reporting and documentation, while managing metrics and improving automation.

Lead design, governance, and strategy for enterprise Power BI platform. Assess infrastructure and capacity, define governance and security, manage refresh automation and metric store, guide BI engineers on DAX, modeling, performance, and deliver scalable, high-performing BI solutions aligned with business needs.

Design, build, and maintain Power BI dashboards and data models using Snowflake and other cloud sources. Collaborate with data engineers/ETL teams, gather stakeholder requirements, implement DAX and Power Query transformations, ensure data governance and performance, and deliver analytics within Agile processes.

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.

Consult with stakeholders to gather requirements and design BI solutions. Develop, deploy, monitor, and support BI/EDW systems. Define KPIs, build dynamic dashboards and reports, perform data validation and QA, and maintain data integration, architecture, and security. Use Agile practices and educate users on BI capabilities.

Build and maintain executive and project-level dashboards, standardize and cleanse source data, define reporting conventions and KPIs, perform data quality checks, coordinate with stakeholders, and apply AI/LLM tools to improve reporting workflows and efficiency.

Design and deliver executive-ready Power BI reports, dashboards and agentic experiences. Build semantic models and self-service analytics, apply DAX, Power Query and Fabric notebooks, perform data exploration with SQL/KQL, and drive AI-enabled automation. Collaborate with data engineering to influence ingestion and transformation, translate business strategy into data solutions, and ensure performance, reliability, and scalability of reporting assets.

Lead a BI team to build and maintain dashboards, reports, and data models; enable self-service via semantic layers; partner with product, engineering, and stakeholders; drive AI and advanced analytics adoption; ensure data quality, pipeline clarity, and BI system reliability; prioritize backlog, mentor team members, and promote data-driven decision making.

Lead analytics and reporting for value-based contracts: build and maintain performance evaluations, calculate incentive distributions, translate business requirements into technical specs, partner with Data Engineering to ensure data quality, write SQL and Python analyses, gather stakeholder feedback, and deliver ad-hoc and executive-level insights to guide strategic decisions.

Manage a team of analysts for PBM analytics, driving insights and scalable data products. Partner with business leaders for effective reporting and analysis.

Lead revenue analytics by defining core KPIs, building executive reporting and experimentation frameworks, performing deep-dive analyses, and aligning data engineering and BI to create a single source of truth for sales performance and pipeline health. Translate findings into executive recommendations and support ad-hoc board-level reporting.