Top Business Intelligence Jobs in Phoenix, AZ

Leads software engineering teams responsible for modernizing enterprise data and analytics platforms. Oversees data pipelines, platforms, governance, reliability, cloud modernization, and reporting capabilities while building an AI context layer using semantic models, ontologies, knowledge graphs, and governed metadata. Manages strategy, budgets, delivery, risk, compliance, stakeholder partnerships, and talent development across complex initiatives.

Analyze healthcare, financial, and utilization data to identify inefficiencies, support data-driven decisions, build analytical models and dashboards, communicate insights to technical and non-technical stakeholders, and monitor improvement initiatives across the organization.

Design and build PerfectServe’s unified cloud data platform, including ingestion pipelines, integrations, data models, metrics, and consumer-facing data layers. Establish architecture, engineering, quality, and testing standards; enable safe extraction from production systems; partner with data users; and mentor data engineers. The role requires substantial cloud data platform experience, deep SQL, warehouse expertise, ELT, change-data-capture, AWS, modeling, orchestration, and data quality skills.

Lead and scale Runpod’s analytics and business intelligence function, managing analysts and BI practitioners while setting the analytics roadmap. Own core company metrics, consumption and marketplace analytics, self-service reporting, experimentation practices, and executive and board-level insights. Partner with Product, Finance, Engineering, Security, Supply, and Go-to-Market leaders to improve data quality, modeling, decision-making, and strategic outcomes.

Leads the Sales Analytics and Reporting function and manages Sales Analysts. Oversees dashboards, scorecards, KPI tracking, profitability analysis, business insights, executive reporting, and sales technology platforms. Partners with Sales, Finance, Product, Technology, and other stakeholders to improve performance, profitability, planning, and decision-making. Develops team capability, reporting processes, platform adoption, and analytical effectiveness while translating complex data into actionable recommendations.

Develop and deploy business intelligence applications for a U.S. Air Force financial platform across development, testing, integration, and production environments. Design and optimize Informatica ETL pipelines, Oracle databases, SQL and PL/SQL processes, data warehouses, BI semantic layers, and SAP integrations. Support Agile delivery, budgeting integrations, monitoring, interface changes, and security hardening. The role also requires Oracle APEX, WebLogic, HTTP Server, performance tuning, and collaboration on data-related issues.

Summer 2026 Analyst Intern responsible for analyzing uncertain and ambiguous business data, validating information, identifying trends, preparing reports and visualizations, and communicating insights that support business decisions. The role involves customer and team collaboration, root cause analysis, research, and identifying business opportunities. Candidates should understand analytics, statistics, modeling techniques, data mining, and business intelligence tools, with proficiency in Microsoft Office.

Lead CX data intelligence initiatives using SQL, dashboards, analytical models, and AI/LLM techniques. Analyze customer journeys, operational metrics, churn risks, and retention indicators; develop insight agents and self-service reporting; define CX health metrics; and translate findings into strategic recommendations, process improvements, and experiments. Partner with operations, support, product, data, and engineering teams while maintaining data quality, governance, and documentation.

Designs, builds, and maintains scalable data pipelines, workflows, analytics solutions, and AI/ML capabilities within Palantir Foundry. Models enterprise data using Foundry Ontology, manages data assets and governance, integrates analytics tools, troubleshoots platform issues, and translates stakeholder requirements into maintainable solutions. The role also supports FAA users through documentation, training, collaboration, and ongoing platform enhancement.

Leads the vision, architecture, strategy, and execution of enterprise data platforms supporting scalable analytics and AI initiatives. Oversees modern data technologies, production reliability, FinOps, governance, architecture standards, and cross-functional delivery. Builds and mentors engineering teams, communicates with executives, evaluates third-party technologies, resolves critical production issues, and drives continuous improvement. The role is remote with occasional planned travel to the Southfield, Michigan office.

Owns and leads commercial master data management across HCP, HCO, payer, patient, product, and organizational domains. Establishes governance frameworks, stewardship programs, data quality standards, matching and survivorship rules, and trusted golden records. Manages commercial data platforms, integrations, analytics datasets, releases, vendors, and offshore teams. Writes SQL, builds validations and data pipelines, troubleshoots integrations, supports commercial launches, and drives operational improvements across pharmaceutical commercial systems.

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.

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.

Provides business intelligence supporting supply chain and materials management decisions. Develops reports, analytical tools, forecasts, and presentations using internal and external data. Researches industry trends, competitive positioning, financial performance, customer insights, and market risks. Documents business processes, promotes analytical methods, and creates training materials for business users and executives.

Analyze insurance product and portfolio performance, build dashboards and reporting tools, validate data, and translate complex insurance questions into actionable recommendations. The role supports rate revisions, state expansion, product development, and profitable growth while partnering with Product, Engineering, Data, Underwriting, Compliance, and other teams. It also uses SQL, business intelligence platforms, and AI tools such as Claude to improve workflows and decision-making.

Leads the organization’s business intelligence function as a hands-on, single-person analytics department. Designs and maintains Power BI and Domo dashboards, develops SQL and Databricks data solutions, integrates vendor systems through APIs, and automates workflows with Power Automate and SharePoint. Manages data reconciliation, reporting standards, documentation, stakeholder requests, prioritization, and analytical presentations. Ensures reporting accuracy, reliable refreshes, issue resolution, and adoption of self-service analytics.

Builds and maintains enterprise datasets, semantic models, Power BI and Microsoft Fabric reporting solutions, forecasting models, dashboards, and automated analytics. Partners with Finance, Operations, and IT to translate requirements into decision-support tools. Ensures data quality through validation, reconciliation, and monitoring while improving reporting governance and analytical methodologies. Uses SQL, Python, AI, and automation technologies to streamline business processes and deliver reliable insights.

Reviews, develops, validates, and refines dashboards, reports, visualizations, calculations, data sources, KPIs, and analytical workflows across BI platforms. The role documents findings, provides structured feedback, troubleshoots reporting accuracy, and evaluates AI-powered agents and workplace connectors used in analytics processes.

Senior BI Engineer supporting Pharmacy Services Finance Intelligence by analyzing financial data, identifying trends and risks, and delivering decision-ready insights to CFO stakeholders. The role develops semantic-layer data sources, integrates disparate datasets, partners on analytics product delivery, improves solution quality and automation, explores AI-enabled analytics, and mentors junior analysts. Advanced SQL, analytics programming, visualization, statistical modeling, data engineering, communication, and large-scale analytics leadership are central to the position.

Develop and maintain BI reports and dashboards for the Mortgage Lending Division. Analyze large datasets, identify trends, validate reportable data, and support regulatory reporting such as HMDA and Fair Lending Analysis. Collaborate with business teams to gather requirements, automate reporting processes, document data definitions, and provide training on reporting tools. The role also supports data dictionaries, exception reporting, and operational improvements.

Develop and maintain Power BI, SSRS, SQL, recurring, and ad hoc reports for the Mortgage Lending Division. Analyze large datasets, validate regulatory reporting data, identify trends, automate reporting, and provide actionable insights. Collaborate with business units, support HMDA and fair lending reporting, document data dictionaries and procedures, and train users on reporting tools.

Leads a client’s migration from SQL Server, SSIS, and SSRS to Snowflake and Sigma while maintaining legacy reporting operations. Designs data models, ETL pipelines, reports, dashboards, source-to-target mappings, and migration plans; validates reporting parity and coordinates phased cutovers. The role also provides client-facing technical leadership, troubleshooting, documentation, peer reviews, and ongoing support for banking data and reporting systems.

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.

Designs and maintains data warehouse infrastructure, semantic and dimensional models, metrics layers, dashboards, reporting, and secure data pipelines. Builds governed self-service analytics in Sigma, Power BI, and Databricks; defines KPIs and data standards; implements row-level security and Entra ID controls; supports data quality, observability, AI/ML use cases, and BI adoption. Collaborates with technical and business stakeholders in an Agile-Scrum environment.

Develops and maintains end-to-end BI dashboards, reporting, and analytics solutions. Partners with leaders to define KPIs, optimize SQL and BI models, ensure data accuracy and governance, and support regulatory reporting. Uses healthcare data to deliver actionable insights, improve processes, and guide strategic decisions. Advises senior leadership through clear, data-driven communication while working with complex datasets and cross-functional teams.