Top Analysis Reporting 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.

Designs, builds, optimizes, and supports scalable AWS-based data infrastructure, pipelines, data models, and ETL/ELT processes using Python, SQL, PySpark, Databricks, and Spark. The role supports analytics, reporting, and business intelligence through production monitoring, troubleshooting, testing, CI/CD, documentation, and cross-functional collaboration with BI, Product, Engineering, Data, and client-facing teams.

Provide accurate valuations and risk assessments for single-family homes using internal tools and pricing model outputs. Incorporate local market knowledge, collaborate with sales, homes, data science and engineering to improve pricing operations and ensure competitive, consistent offers.

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.

Monitors and analyzes station baggage data, tracer records, runner route playbacks, scanner data, and belt information. Creates visualizations and reports, identifies data trends and performance issues, proposes model adjustments, and presents insights supporting Customer Operations leadership, station improvement, accountability, and decision-making. Collaborates with teams to improve processes and contributes to new analytical tools and functionality.

Develop and maintain SQL Server databases, ETL processes, SSIS packages, SSRS reports, stored procedures, and database applications. Analyze large datasets, perform statistical analysis, create technical documentation, conduct testing, resolve implementation issues, and support business requirements. Collaborate with analysts and project teams in an onsite environment while managing multiple priorities and following Agile and Scrum practices.

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.

Designs and maintains data models, database architectures, infrastructure, and integration processes. Translates business and database requirements into physical designs, supports testing and production systems, documents data requirements, and monitors evolving technology and defects. The role also develops automation scripts, performs UAT, designs data flows, and works with distributed data, ETL, streaming, NoSQL, and microservices technologies.

Design, develop, migrate, deploy, and support scalable data pipelines, cloud data platforms, governance solutions, and Power BI reporting. Lead legacy-to-cloud migrations, build Airflow workflows and CI/CD pipelines, manage GitHub repositories, implement data quality and automated testing, and provide production support. Collaborate with finance, product, engineering, and business teams to deliver secure, reliable, and maintainable data solutions.

Build and maintain data engineering solutions supporting USAA’s financial products, member services, and data-driven business operations. The provided posting contains limited role-specific responsibilities and qualification details.

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.