Top Senior Data & Analytics Jobs in Phoenix, AZ

Lead design, governance, and implementation of enterprise employee fraud detection rules and proactive monitoring. Use SAS and SQL to analyze large datasets, identify emerging fraud risks, recommend rule enhancements, and partner with Risk, Compliance, Audit, and Technology to ensure effective, defensible monitoring controls and audit readiness.

Develop and implement data solutions, pipelines, architectures, analytics, reports, and dashboards for clients. Apply Python, Java, ETL, business intelligence, and advanced analytics techniques to interpret complex data, improve operations, and support strategic decisions. Collaborate with stakeholders, manage client relationships, identify data challenges, and deliver high-quality managed services work while contributing to continuous process improvement.

Lead analytical work to monitor loan portfolio and originations, detect credit and underwriting issues, build multivariate statistical models, analyze funnels, quantify costs/benefits, present recommendations to executives, design monitoring and controls, and drive implementation using SQL, Python, Excel, AI tools, and financial/statistical techniques.

Build and refine fraud rule strategies using SAS/SQL/Python and Actimize. Analyze large datasets to identify fraud trends, monitor rule performance, recommend improvements, and collaborate with cross‑functional teams to implement mitigation while balancing customer experience and compliance.

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.

Lead business-technology alignment for enterprise data solutions: capture and document requirements, map source-to-target data flows, implement data quality rules and dashboards, integrate with the business glossary, automate processes, and create Power BI visualizations to present analytic recommendations.

Validate data quality, accuracy, and integrity by developing and executing test plans, creating SQL scripts to build and check datasets, validating reports, designing automated Microsoft-based test scripts, and supporting UAT while communicating data issues to stakeholders.

Lead design, development, and support of enterprise data integration solutions using Informatica IDMC. Build and optimize ETL/ELT pipelines, complex SQL, Salesforce and REST API integrations, and support CI/CD via Azure DevOps. Troubleshoot production issues, participate in code reviews, and translate business requirements into technical solutions.

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.

Administer and govern Power BI environments, dashboards, data models, and reporting systems for construction project controls. Develop analytics, data dictionaries, metadata, lineage documentation, process manuals, and governance artifacts. Connect source systems, support ODS structures, validate reports, and ensure data accuracy. Train project controls and construction users, collaborate with IT and project teams, and may supervise staff. The role requires advanced Power BI, DAX, Power Query, SQL, and construction data expertise.

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.