Top Senior Business Intelligence Jobs in Los Angeles, CA

Design and deliver complex BI solutions and analytics to support Medicare risk adjustment programs. Build dashboards, reports, and data marts using SQL, Snowflake, and ETL (SSIS); apply advanced analytics and scripting (Python/Batch); gather requirements, perform testing and peer reviews, lead project/functional teams, and collaborate with DBAs, data modelers, and system admins to implement data strategy and solutions.

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.

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 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.

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.

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.

Lead development and implementation of finance analytics and COGS reporting. Build scalable data solutions, cost models, and dashboards; collaborate cross-functionally with finance, production, supply chain, and engineering to improve cost visibility, processes, and decision-making. Own end-to-end BI deliverables and influence adoption of robust cost data and analytics.

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.

Develop and maintain BI reports and visualizations, collect and analyze data from multiple systems, design data models and KPIs, ensure data accuracy, automate reporting, provide ad-hoc analyses and actionable insights, collaborate with Sales, Operations, and Finance, and support data governance and best practices.

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

Embed as the primary analytics partner on a digital product team to define KPIs, own measurement plans, build PowerBI dashboards, analyze member product behavior and funnels, design and evaluate A/B tests, write SQL/Python for analyses, and translate findings into actionable recommendations for product leaders and senior stakeholders.

Design, build, and support enterprise BI solutions including reports, dashboards, ETL/ELT, data marts, governed datasets and production support. Translate business requirements into technical designs, perform complex data analysis and root-cause investigations, document lineage and runbooks, optimize solutions, enforce data governance, and provide technical leadership or mentorship for large-scale initiatives.

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.

Lead design and ownership of ZoomInfo's PLG measurement system, define KPIs and leading indicators, analyze end-to-end customer journeys, diagnose growth issues, and influence product investments. Build AI-native, automated analytics workflows, reporting, and monitoring while partnering cross-functionally to prioritize experiments and scale insights that drive adoption, retention, monetization, and expansion.

Design, develop, and maintain BI dashboards, self-service reporting, and predictive analytics for a cloud-based federal case management program. Translate business requirements into technical designs, implement SQL/data transformations, ensure governance and compliance, support AI/ML capabilities, and drive adoption and performance of analytics solutions.

Lead analytics and BI for Digital Product Operations: define product and adoption metrics, build dashboards, ensure data governance and quality, measure ProdOps effectiveness, coach PM/POs, diagnose adoption gaps, and drive interventions that improve product planning and delivery.

Lead Tilt's Business Intelligence function end-to-end: manage a distributed BI team, own reporting data models and semantic layer, build and maintain a metric-and-metadata library with reference SQL, review dbt work and hold quality through code review, prioritize stakeholder requests, and grow team technical and business fluency.

Own and maintain KPI reporting pipelines and business logic, ensure data quality, diagnose KPI changes, perform deep-dive analyses, build dashboards and visualizations, architect data models and curated reporting zones, and partner with Data Engineering and product/marketing stakeholders to enable self-service analytics.

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

Lead business intelligence efforts to analyze complex data, define KPIs, identify operational inefficiencies, and recommend process improvements. Collaborate with cross-functional teams and executives to implement data-driven strategies, manage improvement projects, monitor resource allocation, and ensure compliance with policies and regulations.

Lead product analytics efforts to define KPIs, build measurement frameworks, analyze customer behavior, and generate insights that influence product and engineering decisions. Partner with Product, Engineering, and Data teams to design event tracking, run experiments, quantify opportunity sizes, and communicate recommendations through clear narratives and visualizations to drive product adoption, retention, and business outcomes.

Lead ownership of BI reporting infrastructure: build and standardize dashboards, extract insights from messy third‑party data, partner with marketing teams to drive performance optimization and deliver proactive retrospective analyses that influence business decisions.

Lead BI developer owning end-to-end reporting for performance marketing verticals. Build and standardize dashboards, author LookML models, extract insights from messy third-party data, partner with Yield/Paid Media/Account teams, deliver retrospective analyses, and drive adoption and business impact.