Top Senior Data & Analytics Jobs in Phoenix, AZ

Analyzes complex data to identify fraud trends and develops, tests, implements, and optimizes fraud rule strategies for new account originations. Evaluates rule performance, thresholds, segmentation, and treatment strategies; conducts champion/challenger testing; and delivers actionable recommendations. Collaborates with operations, technology, risk management, and compliance teams to improve fraud detection while balancing mitigation, customer experience, false positives, and operational efficiency.

Serves as a trusted analytics advisor to leadership by investigating complex business, operational, and data challenges. Conducts research, root cause analysis, experimentation, and data exploration to identify risks, trends, and opportunities. Evaluates analytical methods and emerging technologies, partners with cross-functional stakeholders, and delivers actionable recommendations. Provides subject matter expertise and supports strategic initiatives in ambiguous, data-intensive environments.

Leads complex business and data analysis initiatives supporting strategic planning, operational decisions, and high-impact business issues. Directs data collection, modeling, interpretation, forecasting, and reporting; develops recommendations and analytical methods; consults with stakeholders and management; and leads cross-functional projects to implement business solutions. The role requires expertise in Cash operations, complex data analysis, workflow improvement, and business decision support.

Own and improve operational metrics, dashboards, analytical datasets, data pipelines, and automated reporting for autonomous vehicle fleet operations. Analyze utilization, uptime, delays, downtime, readiness, mission performance, and commercial outcomes to identify root causes and improvement opportunities. Ensure data quality across systems, develop scalable workflows, and partner with Operations, Commercial, and Data Platform teams to deliver actionable insights and recommendations.

Design, build, and operate scalable Azure data pipelines and Databricks lakehouse platforms. Modernize SSIS workloads, implement Spark and Delta Lake solutions, and ensure production reliability, observability, data quality, and performance. Champion TDD, XP, CI/CD, AI-assisted development, and engineering standards while mentoring engineers. Support event-driven architectures and potentially MLOps, feature stores, and high-volume transportation data systems.

Design and optimize large-scale Databricks Lakehouse data pipelines in Azure. Modernize cloud data ecosystems, develop Python, PySpark, Spark SQL, and ETL/ELT solutions, and implement Delta Lake, Unity Catalog, governance, lineage, security, and CI/CD automation. Build ingestion frameworks for APIs, databases, files, streaming sources, and MDM systems. Support BI, data science, and application workloads while leading cross-functional data initiatives involving regulated financial datasets.

Develop Power BI reports, dashboards, dimensional data models, and optimized reporting solutions. Extract and transform data using SQL, DAX, and M, while gathering business requirements and supporting data collection processes. The role also requires C#/.NET microservice development, SQL Server engineering, Docker and Kubernetes familiarity, GitHub Actions CI/CD, production troubleshooting, and application support. Experience with Power Platform, React, APIs, automated testing, cloud platforms, and construction or semiconductor construction is valuable.

Build and maintain enterprise analytics capabilities for Application Security operations. Integrate data from multiple systems, develop analytical datasets, metrics, KPIs, dashboards, and executive reporting. Identify data-quality and reporting gaps, automate data extraction and transformation workflows, and ensure reliable data refresh and monitoring. The role requires substantial business intelligence experience, advanced Power BI skills, data integration expertise, and familiarity with governance practices and ServiceNow integrations.

Performs complex fraud analytics and financial modeling for money movement products. Uses SAS, SQL, Excel, Tableau, and databases to evaluate fraud risk, develop mitigation strategies, improve portfolio performance, and recommend policy changes. Leads reporting, strategy requirements, testing, and rollout activities, supports biometrics enhancements, and helps implement machine learning capabilities while communicating recommendations to senior management.

Analyzes complex business and system data, writes queries and reports, maintains and monitors applications, troubleshoots issues, and identifies process improvements. Partners with departments and management to evaluate technology needs, implement solutions, document procedures, and lead cross-functional projects. Communicates findings and project status while coordinating priorities, system updates, automation, and core banking software changes.