Top Senior Data & Analytics Jobs in Phoenix, AZ

Serves as the Deposits and Liquidity data domain expert, establishing trusted definitions, lineage, metadata, quality standards, governance, and AI readiness. Partners with AI, engineering, product, and governance teams to support forecasting, funding management, account visibility, and pricing use cases. Leads issue resolution, cross-functional working groups, strategic initiatives, and executive decision-making while integrating banking data with ERP, treasury, and data platforms.

Design and develop data pipelines, integrations, transformations, and infrastructure across AWS, Snowflake, Airflow, and MySQL. Troubleshoot warehouse issues, validate data quality, improve pipeline reliability, and translate business needs into data engineering solutions. Interpret technical findings for client recommendations, manage workstreams, review junior team members’ work, and provide technical guidance across managed services engagements.

Leads data governance and management activities, including data stewardship, data quality monitoring, risk and incident remediation, data lineage, controls, third-party compliance, and roadmap development. Partners with business, technology, and product teams to implement governance strategies, address data risks, and improve data consistency and usability across the organization.

Leads enterprise data management strategy, data governance, quality frameworks, master data management, operational oversight, and a team of data analysts. Oversees data integrity, metadata, lineage, controls, incident remediation, vendor coordination, reporting, and domain data product health. Partners with business, product, engineering, and governance stakeholders to improve sales, marketing, and CRM data trustworthiness while managing major initiatives, risks, dependencies, and regulatory requirements.

Leads enterprise strategy and analytics initiatives, translating complex business challenges into actionable insights and executive recommendations. Oversees reporting frameworks, forecasting, dashboards, data quality, automation, and AI adoption while partnering with product, technology, operations, and data teams. Manages and develops an analytics team, drives measurable business value, and supports operational efficiency, customer outcomes, profitability, and continuous improvement.

Designs and maintains ETL processes, data warehouses, dashboards, analytics models, and reporting solutions. Develops pricing optimization algorithms, machine learning implementations, automated data processes, and self-service analytics tools using R, Python, SQL, and cloud technologies. Leads projects, mentors developers, documents systems, develops technology roadmaps, and supports production database performance and maintenance.

Supports Child Support Services technology and data initiatives by gathering requirements, analyzing processes and data, writing SQL queries, supporting Salesforce enhancements, and validating system integrations. The role translates business needs into functional documentation, user stories, process flows, and acceptance criteria while coordinating with stakeholders, developers, QA, and data teams. Responsibilities include data quality, mapping, migration, reporting, testing, UAT, defect tracking, and production validation.

Build trusted analytics models, reports, dashboards, and light predictive analyses for revenue, finance, procurement, operations, and renewable energy stakeholders. Develop dbt models in Snowflake, analyze SAP data, maintain curtailment reporting, automate workflows with Python, validate data quality, and document metrics and data assets. Partner with business stakeholders to gather requirements, prioritize requests, and communicate insights. This hybrid role requires working in the Scottsdale office three days per week.

Leads end-to-end data engineering solutions, including pipeline design, data modeling, testing, deployment, optimization, production support, and data quality. Partners with stakeholders to develop cloud-based data platforms, prototypes, technical standards, and scalable analytic systems. Provides technical leadership, conducts design and code reviews, mentors team members, and ensures compliance with risk and data management policies.

Leads fraud analytics to identify fraud methodologies, root causes, compromise points, volumes, and financial or operational impacts. Develops advanced analyses and actionable remediation recommendations for internal teams and participating financial institutions. Manages compromised credential processes, including identifying exposed credentials, social tokens, and payment information, assessing risk, and applying appropriate treatments. Requires experience in analytics coding, digital banking or payments, fraud risk management, and communicating insights to influence organizational change.