Top Business Intelligence Jobs in Phoenix, AZ

Own and optimize the enterprise workforce management platform, including forecasting, scheduling, staffing, intraday performance, shift and PTO bidding, and schedule adherence. Analyze workforce and operational data, identify root causes, create trend and productivity reports, model ROI, and recommend staffing improvements. Partner with analytics and operations leaders, mentor real-time analysts and schedulers, and drive efficiency across service and clinical operations.

Partners with business and technical stakeholders to define data and reporting needs. Develops, tests, maintains, and improves BI solutions, including reports, dashboards, data flows, and analytical models. Queries and structures data from multiple sources, validates data quality, performs statistical analysis, creates experiments, and presents actionable insights and recommendations to stakeholders.

Analyze complex datasets, develop data models, dashboards, and visualizations, and conduct predictive and statistical analysis for client decision-making. Collaborate with clients to deliver tailored analytics solutions, maintain data integrity, communicate insights through reports and presentations, and support data-driven operational strategies using SAS, Power BI, Tableau, and SQL tools.

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.

Develop business intelligence and revenue reporting tools, automate Finance reporting processes, perform ad hoc and quantitative analyses, and translate complex data into actionable insights. The analyst will support company initiatives, present findings to technical and non-technical stakeholders, and provide decision-making guidance across the organization.

Serve as the primary technical escalation point for managed services data and analytics clients. Troubleshoot and enhance Power BI, Fabric, Azure, and other analytics environments; gather requirements; translate business needs into scalable solutions; support client onboarding; maintain documentation; mentor support staff; and partner with client success and consulting teams. The role also contributes to continuous improvement, training, knowledge sharing, and AI-enabled productivity initiatives.

Lead enterprise data governance, quality, MDM, cleansing, validation, reconciliation, and migration efforts to support ERP implementations and large transformation programs. Develop governance frameworks, coordinate data readiness and testing, produce executive reporting and presentations, manage project plans and governance artifacts, and drive stakeholder alignment and change management.

Supports the development and maintenance of business intelligence solutions for college decision-making. Responsibilities include writing SQL queries, working with cloud data warehouses, managing ELT workflows, developing Tableau dashboards and SSRS reports, applying data governance practices, synthesizing institutional data, and communicating insights to stakeholders. The role progressively expands into predictive modeling, forecasting, machine learning, and independent ownership of analytics initiatives.

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.

Lead enterprise data architecture across multiple SaaS products by unifying reporting platforms, data models, and analytics capabilities. Assess current systems, define target-state architecture, establish data governance and quality standards, separate analytical workloads from transactional systems, and develop phased migration roadmaps. Guide database, engineering, and BI teams on cloud platforms, integration, modeling, performance, security, and reliability. Enable trusted cross-product reporting, governed self-service analytics, and data foundations for AI and advanced analytics.

Leads the development and deployment of enterprise BI and analytics products supporting field operations. Establishes BI product lifecycle practices within Agile/Scrum and CI/CD environments, contributes to roadmaps, requirements, data analysis, testing, reporting, and release management, and communicates performance insights to stakeholders. Manages Analysts, develops team capabilities, supports vendor relationships, and partners with product owners to improve operational efficiency and product value.

Manage a data transformation and system migration project: define scope, schedules, milestones, and success criteria; maintain stakeholder communications; track resources, costs, time, risks and issues; prepare executive status reports and lead resolution of project issues.

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.

Implement end-to-end ETL and BI solutions using Ab Initio (ACE/BRE/Express>it): design, architecture review, data modeling, data profiling and quality rules, SQL/database development, and sourcing data from disparate systems—work with stakeholders in banking and global delivery environments.

Implement end-to-end Ab Initio BI/ETL projects including design, architecture review, data modeling, DW/mart development, data profiling and quality using ACE/BRE/Express>it, strong SQL/database work, and collaboration with stakeholders in banking/global delivery environments.

Lead architecture and delivery of enterprise data transformation on the Guidewire Data Platform. Drive design, ingestion/egress, migration performance, and AI-enabled tooling. Facilitate inception and design review sessions, mentor teams, coordinate with partners, and ensure successful data platform adoption and repeatable delivery practices while spending significant time on customer sites.

Develop and enhance CGI Advantage HRM and ERP data integrations, Snowflake data pipelines, reporting datasets, and Power BI dashboards. Build semantic models and DAX solutions, troubleshoot data quality and integration issues, translate business requirements into scalable BI solutions, and collaborate with ERP, HR, data, and business stakeholders.

Lead data product strategy and governance for customer-facing reporting within Managed Services. Own reporting product roadmap, data quality, standards, delivery platforms (Redwood Insights, BI, Snowflake, Excel), implementation readiness, and cross-functional alignment to scale trusted, automated customer analytics and reduce manual reporting.

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.

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.

Design, build, and maintain operational dashboards and SQL-based data models. Translate stakeholder questions into queries, validate data quality, migrate reporting to Databricks/dbt, document analytics, and support metric governance to deliver trusted operational insights.

Owns the company’s BI platform and data strategy across clinical, operations, finance, and HR functions. Responsibilities include setting the analytics product roadmap, governing data definitions and PHI, managing platform architecture, building dbt models and dashboards, delivering healthcare quality and value-based-care analytics, deploying conversational AI, coordinating vendors and multi-team programs, and developing an analytics team. The role requires hands-on ownership of clinical data, EHR integrations, semantic modeling, governance, and executive reporting.

Develops and supports claims-related data pipelines, curated datasets, reporting layers, dashboards, and analytics assets. Partners with stakeholders to research data, clarify ambiguous requests, and design scalable solutions. Writes complex SQL, builds Power BI reports, and develops Databricks pipelines, transformations, workflows, and automation. Supports migration to Databricks and contributes to AI/ML and generative AI initiatives involving healthcare data.

Designs and maintains BI solutions, writes optimized SQL and stored procedures, and builds AI-assisted reports and dashboards using Power BI, Tableau, and Excel. Translates business questions into actionable insights for Sales and cross-functional teams, develops data models, supports reporting migrations, and ensures data quality, governance, documentation, and consistency across platforms.

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.