Top Senior Business Intelligence Jobs in Phoenix, AZ

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.

Design and maintain enterprise data architecture, including metadata management, data models, data flow diagrams, and metadata registry. Establish enterprise data standards, enable domain stakeholders to manage data elements, and support data integration, warehousing, ETL, and BI to meet strategic goals.

The Senior Data Analyst oversees performance reporting tools, automates data pipelines, conducts quantitative analyses, and communicates findings to various stakeholders.

The Director of Business Intelligence leads data operations, analytics, and reporting, aligning BI initiatives with strategic goals, overseeing data architecture, ensuring compliance, and fostering team development and collaboration.

Lead design and build of ETL pipelines and Gold Layer tables in Databricks; develop semantic layers, data dictionaries, and AI-ready documentation; create dashboards and ad-hoc analyses to surface marketing and sales KPIs; partner with stakeholders to translate requirements into analytics-ready datasets and enable self-serve BI and agentic AI workflows.

Design, develop, test, and implement complex BI solutions. Gather and manage requirements, build reports, dashboards, and data models, collaborate with business and IS teams, and apply machine learning and statistical techniques to large healthcare and retail datasets to produce financial and market intelligence.

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.

The Senior Business Intelligence & Analyst will enhance analytics capabilities by developing dashboards, optimizing data warehouses, and managing data pipelines while collaborating with various stakeholders.

The Director of Data and Enterprise Applications oversees the architecture, development, and support of business applications and data platforms, driving digital transformation and ensuring data integrity and accessibility.

Translate business requirements into Power BI reports and dashboards: design, build, test, deploy, analyze data hierarchies/trends, set up user mapping/security, and deliver workshops and hands-on training. Requires strong SQL and experience with Power BI on Azure HDInsight and SQL DW.

Design, build, test and deploy Power BI reports and dashboards; analyze data, hierarchies and trends; create scorecards, advanced charts and geospatial maps; set up user mapping and security; conduct Power BI workshops and hands-on training. Requires strong SQL and experience with Power BI on Azure HDInsight and SQL Data Warehouse. Minimum seven years in IT.

Lead BI reporting and analytics: develop and QA reports, design EDW/ODS and multidimensional models, improve automation and processes, plan data/component architecture, and lead application development and integrations.

Design, develop and support BI reports, dashboards and self-service apps from the data warehouse and OLAP cubes using Tableau, SSRS and Excel. Gather requirements, translate to technical specs, build visualizations, optimize data sources, perform testing, and train/mentor end users.

The Senior Data Analyst will manage the lifecycle of data analysis projects for RevolutionParts, develop complex models using SQL and Python/R, ensure data integrity, create dashboards in Looker, and mentor the team on data 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.

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.

As a Principal Business Intelligence Engineer, you'll drive data initiatives, design data architectures, influence BI tooling, and mentor analytics engineers, focusing on improving the data infrastructure and governance for AI-powered analytics.

Design, build, and enhance executive Power BI dashboards and scalable data models. Develop DAX, Power Query, optimized visuals, KPIs, templates, and governance while iterating with stakeholders to deliver role-based reporting and drill-through navigation.

Builds and manages ETL processes and data pipelines in Azure Databricks using PySpark. Integrates data from multiple sources, tunes Spark and SQL for performance, troubleshoots pipeline failures, automates manual processes, and supports reporting and analytics to inform business decisions.

Collect and analyze competitive intelligence and conduct due diligence and investigations on investment candidates and related entities. Design data collection methods, use research, network analysis and AI/automation tools to produce high-quality reports and actionable recommendations for senior stakeholders, and improve workflow productivity.

Lead design and delivery of end-to-end BI solutions and market-facing analytics tools. Define strategy and roadmaps, translate business needs into requirements, guide development and testing, oversee deployments, ensure data governance, and liaise with stakeholders to prioritize fixes and maintain documentation and compliance.

Lead BI Developer owns reporting infrastructure end-to-end, building standardized, trusted dashboards and LookML models, analyzing messy third-party data, partnering with Yield/Paid Media/Account teams to deliver actionable performance marketing insights and retrospective analyses that drive business decisions.

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.

Lead a small BI team while remaining hands-on: write advanced SQL, build dashboards and models, enable self-service analytics, set governance, surface insights for stakeholders, and shape a BI roadmap that scales with alerting, anomaly detection, and applied AI/ML.