Top Senior 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.

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.

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.

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.

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.

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 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.

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.

The BI Manager leads data analytics by managing a BI team, collaborating with stakeholders, overseeing data architecture, and enhancing reporting processes.

The BI Systems Manager will own and develop Valar's data infrastructure and platform, leading a team, managing data systems, and ensuring effective reporting and analytics processes are in place as the company scales its operations.

The Business Intelligence / Data Analyst will optimize the data reporting pipeline using Google Big Query and Omni, work with product management, implement reports, and conduct ongoing maintenance.

The Senior BI Analyst will gather requirements, develop scalable reporting solutions, and create dashboards using Power BI, ensuring data-driven decisions across the organization.

The Market & Business Intelligence Manager will lead analytics strategies, manage a team of business analysts, and provide insights to support firm strategy and decision-making.

Lead BI consulting engagements: gather stakeholder requirements, design data architecture and ETL/data warehouse solutions, build and validate dashboards (QuickSight), manage offshore delivery, ensure data quality, and drive risk mitigation and process improvements.

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.

Own end-to-end marketing and business intelligence: build automated dashboards (Domo), query large datasets (SQL/Snowflake), report subscription funnel economics, analyze channel performance and A/B tests, troubleshoot data anomalies, and partner with leadership to set KPIs and prioritize analytics work.

Lead cross-functional analytics to inform clinical and operational decisions: build Tableau dashboards, create dbt analytical models, analyze large healthcare datasets (claims, EHR, HIE) with SQL, respond to ad-hoc requests via JIRA, and collaborate with product and engineering to improve data capabilities.

Support and develop BI applications for a client financial platform across environments. Build reports, analytics, and budgeting solutions (TM1), develop/tune Oracle SQL/PLSQL, deploy BI tooling, support UIs (low-code), follow Agile practices, and collaborate on integrations, security hardening, and operations.

Lead a team of six analysts to own BI strategy, data governance, reporting roadmap, and automation. Build dashboards, self-service analytics, and cloud data pipelines (Databricks/Snowflake). Partner with Sales, Talent, and Operations to define KPIs, improve data quality, streamline systems, and deliver actionable sales and operational insights.

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.

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.

Hands-on technical lead designing and delivering scalable, secure Azure-based BI and analytics solutions. Own end-to-end Power BI architecture, mentor engineers, guide implementations, optimize performance, and advise clients on governance, deployment, and AI-augmented analytics. Drive discovery, backlog priorities, cross-team alignment, reusable assets, and consulting pursuits.