Top Data & Analytics Jobs in Phoenix, AZ

Leads member lifecycle analytics and business strategy development by synthesizing large datasets, defining KPIs, analyzing cohorts, churn, lifetime value, and P&L performance, and guiding A/B testing. Partners with senior stakeholders to translate complex insights into strategic initiatives, influence decisions, and improve member experience. Provides team leadership and training while using tools including Tableau, R, Python, SQL, Snowflake, and Adobe Analytics.

Leads enterprise contact center demand forecasting, staffing models, and capacity planning across multi-skill, multi-channel operations. Partners with Operations, HR, and Finance to guide workforce strategy, hiring, budgets, service levels, and executive decisions. Develops long- and short-term forecasts, translates complex data into actionable insights, improves planning processes, and influences stakeholders through data-driven recommendations and change management.

Design, build, and operate Azure-based data pipelines and integrations. Consolidate data from multiple sources into centralized SQL systems, perform transformations and field mapping, and maintain data warehouse capabilities. Troubleshoot quality, integrity, latency, security, and reliability issues while applying governance, monitoring, and SLA practices. Collaborate with engineers, analysts, and stakeholders in Agile pods to deliver reusable, analytics-ready data assets.

Designs and optimizes enterprise data pipelines within Microsoft Fabric, including lakehouse and warehouse architectures, real-time ingestion, cloud migration, performance tuning, governance, CI/CD, and reliable reporting layers. The role supports AI-enabled data solutions such as retrieval-augmented generation and vector search, while mentoring junior engineers and establishing technical standards. Requires expertise in SQL, Python, PySpark, Spark, lakehouse design, streaming systems, and modern cloud data platforms.

Manage and support Teradata databases for enterprise data warehouse applications. Responsibilities include incident resolution, backup monitoring and recovery, database configuration, partitioning, indexing, migration, performance monitoring, SQL tuning, troubleshooting, patching, upgrades, and runbook documentation. Provide development support, collaborate with application and offshore teams, support multiple initiatives, and participate in on-call operations.

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.

Database Engineering Interns will design database solutions using SQL Server and Azure, build data integrations, perform data transformations, maintain data integrity, troubleshoot support issues, and recommend improvements. The role involves Python-based data processing and automation, SSIS, stored procedures, Snowflake exposure, and collaboration across multiple projects in an on-site, fast-paced environment.

Analyze and improve business systems, workflows, data quality, reporting, and operational processes. Administer and optimize Deltek Vantagepoint, develop Power BI dashboards and data models, validate reporting accuracy, support CRM and financial data, and translate business requirements into scalable system solutions. Provide user support, documentation, training, testing, and implementation leadership while collaborating across Finance, HR, Marketing, Operations, and project teams.

Manages Microsoft Azure, Fabric, and SQL Server data platforms across cloud and on-premises environments. Responsibilities include platform support, monitoring, performance tuning, CI/CD and orchestration management, database backup and disaster recovery, deployments, automation, security controls, governance, data lineage, compliance, incident response, and root cause analysis. The role participates in on-call support, platform upgrades, auditing, documentation, and testing of new Azure and Fabric capabilities.

Leads the design, development, and maintenance of scalable data pipelines, ETL/ELT processes, enterprise data warehouses, and data integrations. Establishes data models, quality standards, governance practices, and documentation while ensuring healthcare data security and interoperability through HL7, FHIR, APIs, and SFTP. Partners with clinical, operational, analytical, and IT stakeholders to deliver reliable data solutions, optimize performance, resolve data issues, and mentor junior staff.