Top Data & Analytics Jobs in Phoenix, AZ

Develop and maintain Tableau dashboards, analyze HR and workforce data using SQL, and translate findings into actionable stories for executives and business leaders. The role defines HR metrics and reporting frameworks, supports data architecture and warehousing practices, collaborates on data pipelines, and ensures HR data accuracy, governance, integrity, and privacy. It partners with HR, Finance, IT, data engineering, and other stakeholders to improve workforce strategy, operational efficiency, and employee experience.

Collects, analyzes, and validates aircraft system data; prepares and publishes monthly CASS reports; monitors mechanical interruptions, service difficulties, and adverse trends; reports qualifying events to the FAA; compiles fleet-level statistics; identifies irregularities; and submits data reports to manufacturers, regulatory agencies, and other entities.

Import, transform, and load data from external sources into production databases. Ensure data consistency and quality, collaborate with internal/external stakeholders, support segmentation updates, and assist with displaying data in web applications. Begin onsite for training in Mesa, AZ, then transition to a hybrid schedule.

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.

Leads the design and implementation of business intelligence products, including dashboards, reports, analytical tools, automated data pipelines, and integrations. Performs exploratory analysis, data modeling, visualization, and data governance to convert complex datasets into actionable business recommendations. Partners with business and client stakeholders to define analytics roadmaps, communicate technical concepts, and embed standardized data products within the organization.

Supports statewide court reporting through data collection, validation, maintenance, statistical analysis, and SAS-based dataset processing. Maintains reporting interfaces, webpages, and dashboards; handles data requests; develops and tests reports and data-entry systems; assists with research, report writing, training, and stakeholder support. Requires collaboration with court personnel and external partners, prioritization of workflows, confidential data handling, and occasional travel. Remote work may be available up to two days weekly after an initial in-person period.

Designs, builds, and evolves NovaSource’s enterprise Azure and Databricks data platform. Responsibilities include data modeling, medallion architecture, data mesh implementation, ETL/ELT pipeline optimization, governance, security, monitoring, automation, and performance engineering. The role also integrates AI, LLM, and agentic capabilities, supports contractual and regulatory reporting, collaborates with stakeholders and vendors, documents architecture, and mentors technical teams.

Supports healthcare consulting projects by analyzing Medicaid enrollment, claims, and encounter data. Assists with client deliverables, data aggregation and validation, modeling, dashboards, reports, and infographics. Manages timelines, communicates project status, participates in peer review, researches solutions, and works with actuaries and consulting teams on Medicaid Managed Care rate-setting and policy analytics.

Lead design, development, and support of enterprise data integration solutions using Informatica IDMC. Build and optimize ETL/ELT pipelines, complex SQL, Salesforce and REST API integrations, and support CI/CD via Azure DevOps. Troubleshoot production issues, participate in code reviews, and translate business requirements into technical solutions.

Designs enterprise database architectures and scalable data solutions across relational, NoSQL, cloud, and on-premises environments. Responsibilities include data modeling, database performance optimization, security, disaster recovery, cloud migration, automation with Python, and support for AI/ML, vector database, and RAG architectures. The role also provides technical leadership, documentation, architecture reviews, troubleshooting, and team mentorship.