Top Senior Business Intelligence Jobs in Phoenix, AZ

Transforms complex retail and consumer data into business-ready datasets, scalable pipelines, reporting solutions, automation, and client deliverables. Designs data integration solutions in Unify, troubleshoots connector issues, explores AI-driven improvements, and partners with Product, Engineering, Client Development, Operations, and business stakeholders to define requirements and deliver scalable solutions.

Lead integration of technology into information systems, design data warehouse and BI capabilities, define data architecture and dictionaries, centralize disparate data, design dashboards, document system architecture, perform data quality and management, and provide solution engineering, pilots, and enablement for analytics and resource management.

Leads complex, cross-functional business intelligence initiatives from strategy and scoping through delivery. Partners with senior leaders across Sales, Marketing, Finance, and Operations to build scalable data products and actionable insights. Establishes standards for metrics, data modeling, governance, quality, and storytelling; designs data infrastructure using modern tools such as dbt. Drives data literacy, mentors analysts, contributes to analytics roadmaps, and ensures data assets are trusted, discoverable, secure, and fit for executive decision-making.

Develop enterprise Power BI solutions from discovery through adoption. Responsibilities include semantic modeling, advanced DAX and Power Query development, dashboard UX/UI design, governance, performance optimization, stakeholder workshops, client presentations, usability testing, adoption tracking, proposal support, and mentoring junior team members.

Perform category analytics and insights to support sales and CPG category management using retailer POS and syndicated data (Circana/IRI/NielsenIQ). Drive assortment planning, store clustering, presentations, and recommendations; partner with clients, Space Technology, and CPG teams to influence action and ensure quality deliverables.

Support sales and CPG category management through multi-source data analysis (retailer POS, NielsenIQ/Circana). Produce insights, presentations, and recommendations for assortment, item performance, and store clustering. Collaborate with clients, Category Management, and Space Technology teams to drive action and deliver quality results.

Build, migrate, and optimize analytics solutions using Power BI and Microsoft Fabric. Develop data pipelines, semantic models, dashboards, and automated refresh and deployment processes. Partner with engineers, analysts, and stakeholders to gather requirements and deliver governed, secure, high-performing reporting solutions. Maintain workspace and tenant administration, troubleshoot issues, and modernize existing Power BI assets using lakehouse, medallion, star schema, and dimensional modeling practices.

The Director of Data Analytics & Business Intelligence leads analytics functions, building models and dashboards while guiding a team. Responsibilities include analytics infrastructure management, cross-functional collaboration, and driving AI/ML initiatives.

Lead complex BI projects to define KPIs, build internal and client-facing Tableau/Power BI dashboards, enforce documentation and metric consistency, perform data analysis and profiling, create BI strategy and roadmaps, mentor junior analysts, and present insights to cross-functional and executive stakeholders.

Develop Power BI dashboards, reports, data models, and analytical tools for federal consulting engagements. Gather stakeholder requirements, integrate and validate operational data, create DAX calculations and Power Query transformations, and support forecasting, staffing, cost, inventory, and performance analysis. Optimize and document solutions, conduct testing and training, and transfer knowledge to Government users. Collaborate with logistics, operations research, security, and project management stakeholders.

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 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 analyst responsible for developing and maintaining data warehouse reports, mapping source systems to BI systems, building ETL/OLAP solutions, ensuring data quality and metadata management, mentoring staff, supporting production cycles, and providing user training and support in a hybrid Arizona-based role.

Manage enterprise BI and analytics platforms, data governance, access controls, and self-service reporting. Translate business requirements into governed dashboards, KPIs, metrics, and actionable insights using Power BI, Tableau, Azure, SQL, and multiple database technologies. Ensure data quality, platform scalability, business continuity, cost efficiency, and secure information delivery. Partner with business and technology stakeholders, lead process improvements, resolve complex issues, and mentor data professionals.

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.

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 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.

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.

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.

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.

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.

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.

Lead BI and insights function, manage a data analyst, build dashboards and reports, maintain category and retailer data structures, ensure data quality and automation, analyze retailer/shopper/category performance, and present actionable recommendations to customers and internal stakeholders to support growth and strategic planning.

Build governed gold-layer data models and a single-source metrics layer in Snowflake (dbt); create and optimize dashboards in enterprise BI tools; use AI coding agents and AI-assisted tooling to accelerate development; ensure data quality, governance, and consistency; collaborate with data engineering and stakeholders to deliver trusted analytics for internal and client-facing use.

Design, build, and maintain enterprise Power BI dashboards and data models. Integrate multiple data sources, write DAX, ensure data quality and performance, support stakeholders with requirements, documentation, governance, and ad hoc analytics to enable operational and executive decision-making.