Top Data & Analytics Jobs in Phoenix, AZ

Lead quantitative analyses of loan originations and portfolio performance to identify credit risks and improvement opportunities. Build multivariate/predictive models, conduct diagnostic and funnel analyses, measure costs/benefits, design monitoring and controls, present recommendations to VP-level stakeholders, and drive hands-on implementation using SQL, Python, Excel, AI tools, and financial modeling.

Contract SQL Developer role supporting IT staffing placements. Likely responsibilities include writing and optimizing SQL queries, developing database objects, troubleshooting data issues, and collaborating with technical teams to deliver database solutions.

Analyze advisor conversations, sales interactions, and market trends to produce actionable intelligence for Sales Leadership. Leverage Gong AI, Salesforce, CRM Analytics, ChatGPT, and BI tools to identify opportunities, assess sales execution, deliver executive reporting, and partner cross-functionally to improve coaching, strategy, and commercial performance.

The Data Engineer will analyze, develop, implement, test, and support data warehouse projects. Responsibilities include project support, data validation, and enhancing data management processes, all while collaborating with team members and improving performance.

The job requires an Informatica consultant with skills in scripting (Python, Perl, Shell) and experience with Oracle and SQL Server. The position is urgent and for a minimum of 12 months.

The Senior Database Administrator designs and manages Oracle Cloud database solutions, ensuring high availability and performance across environments, with responsibilities including optimization, migrations, security, and automation.

This role offers training for aspiring Data Engineers, focusing on technology of choice, interview preparation, and skill enhancement with guidance on OPT STEM extension.

Analyze state-level actuarial pricing performance for personal auto and home lines, develop metrics and tools, evaluate sub-state profitability, recommend pricing actions, collaborate with product, actuarial, data science, and operations, and improve automation, documentation, and analytics capabilities.

Designs and implements large-scale data solutions using Java and open-source big data technologies (Hadoop, NoSQL, Solr, Storm, Kafka). Participates in architecture and design discussions, delivers implementations, collaborates with senior architects and offshore teams, authors technical papers, and shares knowledge across the organization while ensuring performance, scalability, and timely quality delivery.

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