Top Senior Level Data & Analytics Jobs in Phoenix, AZ

The Sr. Foreclosure Performance Analyst monitors the workflow and productivity of the department, ensuring adherence to process timelines and industry standards. They collaborate with other departments, communicate with investors about foreclosure timelines, and enhance productivity through data analysis and reporting. The analyst also assists in audits and special projects to improve foreclosure processes and documentation.

The role involves analyzing and deploying fraud risk models and applications, optimizing the balance of risk and experience in payment networks, implementing fraud detection strategies, and communicating emerging risks to stakeholders.

The Senior Data Analyst oversees data systems and reporting frameworks, ensuring data integrity and accuracy. Responsibilities include transforming raw data into structured information, conducting complex analyses, creating automated processes for data scraping, and developing reporting processes. The analyst collaborates with stakeholders to enhance the analytical functions and provides insights for strategic business decisions.

Hiring a Senior Data Engineer to build data architectures, migrate to a streaming and big data architecture, and enhance platform automation. Responsibilities include building data warehouse, event stream platform, and managing projects in dynamic environment. Requires Bachelor's/Master's in Computer Science, 5+ years of data pipeline building experience, Scala fluency, and knowledge of Apache Spark and streaming technologies.

The role involves managing SQL Server and database access, optimizing SQL queries, troubleshooting application issues, and performing database maintenance. Responsibilities include monitoring performance, conducting audits, and collaborating with teams to support new product deployments.

The Sr. Mutual Fund Board Compliance Analyst will provide general support to the Fund CCO, including policy review, compliance testing, and documentation for board meetings. Responsibilities include due diligence, report writing, tracking regulatory news, and analyzing compliance trends. The role also involves administrative tasks and managing special projects as required.

The Data Scientist will develop and automate key metrics to support business objectives, source and clean data, perform data analysis using statistical and machine learning techniques, create visualizations, and collaborate with teams to provide analytical support. They need to document processes and stay updated on data science trends.