Top Analytics Jobs in Phoenix, AZ

The Senior Data Engineer will design and implement scalable data models in BigQuery using dbt for analytics and reporting, ensuring data governance and optimal performance.

Lead and grow a team of analytics engineers while remaining hands-on with SQL, dbt, and Snowflake. Own roadmap and semantic layer development, build trusted, governed data products, partner with cross-functional stakeholders, champion data quality and observability, and hire and coach engineering talent to deliver scalable analytics and AI-ready foundations.

Lead and build a product analytics function: define KPI framework, instrumentation, and self-serve analytics using Pendo and BI tools. Partner cross-functionally to measure product performance, surface insights, influence roadmap and embed AI-powered analytics into product lifecycle.

Lead a team of analysts and data scientists embedded in sales to build rigorous pilot analyses, create executive-ready business cases, expand consultative analytics across the partner lifecycle, and publish industry insights while coaching and scaling the Solutions Analytics function.

Design, build, and maintain end-to-end data models and pipelines to support CX operations, compliance reporting, and customer insights. Create dashboards and metrics, enforce data quality and governance, automate recurring workflows, and partner with stakeholders and broader data teams to deliver self-serve analytics solutions.

Design, build, and maintain ETL pipelines, data warehouses, dashboards, and analytics models. Lead projects, mentor developers, deploy models (in-database and production), and create self-service reporting and single source-of-truth architectures. Implement automation, performance tuning, and documentation; evaluate new technologies and POCs, with optional generative AI/RAG work.

As a Forward Deployed Data Analyst, you will configure and implement data systems for clients, ensuring their analytics are accurate and actionable. You'll work with teams to refine metrics and improve data processes, ensuring value from day one.

Lead design, development, deployment and troubleshooting of large-scale web analytics and tag management implementations. Translate KPIs into scalable tracking, manage JavaScript solutions, integrate DMPs and optimization tools, produce technical documentation and train teams, and support Agile delivery across multiple sites.

Develop and apply analytics, statistics, and predictive models using R and Hadoop. Communicate results in presentations, collaborate within teams, adapt to changing business needs, and leverage insurance domain knowledge. Role is a 6-month contract with phone interview.

Design and develop data management and big data analytics solutions using Hadoop ecosystem and cloud platforms. Implement processing with Java/Python/Scala, work with databases, cloud services (AWS/Azure), and support DevOps practices to deliver analytics pipelines.

Design and develop data management and analytics solutions using big data technologies (Hadoop, Spark, Hive, etc.), cloud platforms (AWS/Azure), and languages (Java/Python/Scala). Collaborate on data engineering, implement ETL and analytics pipelines, apply DevOps practices, and solve technical problems while staying current with market and technology trends.

Lead enterprise people analytics and HR data strategy to deliver actionable workforce insights, forecasting, and AI readiness. Own data governance, quality, and activation; embed analytics into HR products and platforms; build and lead a multidisciplinary analytics and data strategy team to drive workforce planning and organizational effectiveness.

Design and execute advanced data analytics to support internal audit engagements. Partner with audit teams to identify risks, validate data, build SQL/Python analyses, and develop Tableau/Power BI dashboards to evaluate control effectiveness and report findings to stakeholders.

Build and maintain production-grade data models and pipelines for the Compliance Data Mart, implement data quality frameworks and monitoring, partner with engineering to resolve data gaps, support regulatory exams and audits, and automate manual workflows into scalable pipelines and self-serve tooling.

The Senior Analytics Engineer will develop data pipelines, build models, and create dashboards to provide actionable insights for various teams. The role requires collaboration with multiple stakeholders to meet analytical needs and ensure data governance.

Lead enterprise forecasting, metrics, and performance measurement for Financial Advisor Services. Build and validate forecasting models, produce scenario analyses and executive-ready visualizations, set data quality standards, establish recurring reporting, and mentor analysts to drive strategic decision-making and resource allocation.

The Senior Reporting & Analytics Consultant leads customer-focused reporting and analytics engagements, developing solutions, supporting implementations, and training clients, while ensuring project success.

Design and build large-scale ETL/ELT pipelines and analytical architectures on GCP. Assess, plan, and drive enterprise data and cloud migration programs, modernize legacy systems, optimize query performance, and enable scalable cloud-native solutions for clients.

The Staff Analyst will design analytical frameworks, lead business case development, and provide insights across departments while mastering insurance analytics.

The Principal Analyst leads employee and patient experience surveys, performs advanced analytics, supports job analysis, and strategic workforce planning, providing actionable insights to enhance HR practices.

Partner with sales and data engineering to deliver sales analytics: translate business questions into analyses, build and shepherd dashboards, perform ad hoc and automated analyses, validate data, and present data-driven stories to influence leadership.

Lead and execute reporting, analytics, BI, and AI strategy for Sales, Credit, and Servicing. Build and coach a high-performing analytics team, act as product owner for analytics capabilities, drive platform adoption (Tableau, Snowflake, Databricks, Salesforce/nCino), establish governance and KPI frameworks, and influence executive stakeholders to deliver data-driven business outcomes.

Lead client-facing Data & Analytics engagements across pre-sales, architecture, and delivery. Define strategy, roadmaps, solution designs, and SOWs for modern data platforms, pipelines, governance, analytics, and AI enablement. Drive practice development, create reusable IP, mentor teams, and ensure quality delivery and strong business outcomes.

The Analytics Lead will leverage data analytics to optimize credit strategies, monitor portfolio performance, and collaborate on credit policy with stakeholders across technical and non-technical teams.

Lead portfolio analytics for Amazon Credit & Payments: define problems, source and analyze data, build dashboards, measure and optimize lifecycle and campaign performance, partner cross-functionally, and coach analytics teams to drive growth, profitability, and improved customer experience.