Top Analysis Reporting Jobs in Phoenix, AZ

Drive fraud strategy, policy, and analytics for money-movement fraud. Build and manage fraud rules, analyze moderately complex data sets using SQL/Python/SAS and BI tools, create predictive models and visualizations, consult stakeholders, and ensure fraud risk is identified and controlled across payment channels.

Design, build, and operate Azure-based data pipelines and integrations. Consolidate data from multiple sources into centralized SQL systems, perform transformations and field mapping, and maintain data warehouse capabilities. Troubleshoot quality, integrity, latency, security, and reliability issues while applying governance, monitoring, and SLA practices. Collaborate with engineers, analysts, and stakeholders in Agile pods to deliver reusable, analytics-ready data assets.

Designs and maintains Power BI reports and dashboards using Microsoft Fabric semantic models. Builds data models, writes optimized DAX, applies security controls, validates data quality, creates certified datasets, and translates stakeholder needs into actionable visualizations. The role also involves peer reviews, cross-team collaboration, and using AI tools to improve analysis and delivery.

Manage and support Teradata databases for enterprise data warehouse applications. Responsibilities include incident resolution, backup monitoring and recovery, database configuration, partitioning, indexing, migration, performance monitoring, SQL tuning, troubleshooting, patching, upgrades, and runbook documentation. Provide development support, collaborate with application and offshore teams, support multiple initiatives, and participate in on-call operations.

Database Engineering Interns will design database solutions using SQL Server and Azure, build data integrations, perform data transformations, maintain data integrity, troubleshoot support issues, and recommend improvements. The role involves Python-based data processing and automation, SSIS, stored procedures, Snowflake exposure, and collaboration across multiple projects in an on-site, fast-paced environment.

Analyze and improve business systems, workflows, data quality, reporting, and operational processes. Administer and optimize Deltek Vantagepoint, develop Power BI dashboards and data models, validate reporting accuracy, support CRM and financial data, and translate business requirements into scalable system solutions. Provide user support, documentation, training, testing, and implementation leadership while collaborating across Finance, HR, Marketing, Operations, and project teams.

Manages Microsoft Azure, Fabric, and SQL Server data platforms across cloud and on-premises environments. Responsibilities include platform support, monitoring, performance tuning, CI/CD and orchestration management, database backup and disaster recovery, deployments, automation, security controls, governance, data lineage, compliance, incident response, and root cause analysis. The role participates in on-call support, platform upgrades, auditing, documentation, and testing of new Azure and Fabric capabilities.

Leads the design, development, and maintenance of scalable data pipelines, ETL/ELT processes, enterprise data warehouses, and data integrations. Establishes data models, quality standards, governance practices, and documentation while ensuring healthcare data security and interoperability through HL7, FHIR, APIs, and SFTP. Partners with clinical, operational, analytical, and IT stakeholders to deliver reliable data solutions, optimize performance, resolve data issues, and mentor junior staff.

Leads the development and deployment of enterprise BI and analytics products supporting field operations. Establishes BI product lifecycle practices within Agile/Scrum and CI/CD environments, contributes to roadmaps, requirements, data analysis, testing, reporting, and release management, and communicates performance insights to stakeholders. Manages Analysts, develops team capabilities, supports vendor relationships, and partners with product owners to improve operational efficiency and product value.

Develop and maintain Tableau dashboards, analyze HR and workforce data using SQL, and translate findings into actionable stories for executives and business leaders. The role defines HR metrics and reporting frameworks, supports data architecture and warehousing practices, collaborates on data pipelines, and ensures HR data accuracy, governance, integrity, and privacy. It partners with HR, Finance, IT, data engineering, and other stakeholders to improve workforce strategy, operational efficiency, and employee experience.