Top Senior Data & Analytics Jobs in Phoenix, AZ

Lead design and delivery of production data platforms, pipelines, and analytics. Architect Snowflake/Databricks solutions, build ETL/streaming ingestion, implement dbt transformations, data quality, observability, and governance, support BI and AI/ML feature/data pipelines, and mentor engineers while driving DataOps and platform best practices.

Leads the architecture, design, development, testing, and deployment of complex data platforms and distributed systems. Builds data strategy, warehouses, big data and real-time processing solutions, BI capabilities, and operationalized AI/ML pipelines. Owns system health, scalability, quality, and production delivery while guiding engineering teams, collaborating cross-functionally, resolving production issues, and improving data standards, tooling, security, and development processes.

Leads complex enterprise technology initiatives through strategic business analysis, stakeholder discovery, requirements elicitation, process mapping, solution design, AI opportunity assessment, testing, adoption, and implementation support. The role mentors Business Analysts, establishes practice standards, facilitates cross-functional decisions, and promotes responsible AI, continuous improvement, accessibility, security, privacy, and customer experience improvements across Arizona State University.

Conduct primary and secondary market research to produce competitive intelligence for executive and business stakeholders. Collect, analyze, synthesize data into actionable reports, maintain competitor profiles and knowledge libraries, manage vendors/budgets, and deliver insights that inform strategic decisions using creative reporting formats.

The Senior Data Analyst provides support for data management functions, leads data analysis and reporting, and audits data feeds in a healthcare environment.

The Lead Data Platform Engineer will design and build Virtuous's data platform, ensuring it is secure, scalable, and AI-ready. Responsibilities include architecting access controls, optimizing performance, and enabling self-service analytics while maintaining governance and compliance standards.

The role requires designing and implementing end-to-end data solutions and architectures, focusing on data transformations, integration, and BI analytics, particularly in the financial services industry.

The Data and Analytics Consultant assists clients in data-driven decision making, steering strategic initiatives and transforming data platforms across organizations to enhance business performance.

Design, build, and optimize scalable data pipelines and models using Snowflake, SQL, Python, Kafka, dbt, and Argo. Support near-real-time integrations, CI/CD workflows, data quality, and performance; mentor engineers; partner with product and analysts to deliver production-ready, AI-enabled data solutions.

Design, build, and automate scalable data platforms (lakehouses/warehouses). Implement and optimize ETL/ELT pipelines using Databricks and dbt, apply Medallion Architecture, manage IaC/CI-CD, ensure data security and governance, and integrate pipelines with BI tools while engaging with stakeholders.