Top Senior Data & Analytics Jobs in Phoenix, AZ

Lead data engineering efforts within Technology Consulting: design data architecture and pipelines, implement AWS/Redshift and ETL solutions, support BI (QlikView/Oracle BI), coach teams, manage client relationships and SLAs, apply systems thinking to optimize outcomes and validate solutions with stakeholders.

The Senior Analyst in AML KYC will conduct detailed customer onboarding, monitor client relationships for compliance, and update KYC records while utilizing AI tools for efficiency.

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.

Lead analytics, BI, and reporting strategy for Operations & Reporting. Design and deliver dashboards, predictive models, and scalable BI solutions; manage stakeholders, data preparation, governance, and adoption of modern visualization and AI capabilities to improve oversight and decision-making in a regulated global environment.

Senior data engineering role to define data strategy, architect and deliver scalable data platforms, pipelines, and BI solutions. Lead cross-functional design and implementation, support production reliability, enable ML model operationalization, and improve engineering standards and tooling across teams.

Lead analytics, space management, and category management teams across multiple client accounts. Partner with senior leadership to manage client relationships, translate priorities into actionable team direction, deliver data-driven insights that drive measurable client value, optimize tools and processes, and identify growth opportunities.

Develop and support Plan Sponsor & Consultant reporting and dashboards. Extract, manipulate and analyze data (SQL, R/Python/SAS), apply statistical inference, automate reports, and communicate actionable insights to business partners to inform decisions.

Design, build, and maintain dbt Core models and Snowflake data models to produce analytics-ready datasets. Lead ELT architecture, ensure data quality/testing/documentation, optimize performance, use Python for automation, mentor engineers, and support governance and AI reporting initiatives.

Design, architect, and implement large-scale big data solutions (GB/PB) using Java/J2EE and open-source stacks (Hadoop, NoSQL, Solr, Storm, Kafka). Define architectures, ensure NFRs (performance, scalability, monitoring), guide clustered deployments and hardware considerations, coach offshore teams, present designs to executives, produce whitepapers/case studies, and ensure timely, quality deliveries.

Senior Data Engineer responsible for designing and implementing data solutions, ensuring data quality, and optimizing data systems.