Top Analysis Reporting Jobs in Phoenix, AZ

Deliver data engineering and ETL solutions to support client analytics. Build and maintain data pipelines, optimize SQL, design data architecture (star/snowflake models), create BI reports/dashboards, improve data quality, and support client engagements in regulated environments while learning and growing technical and client-facing skills.

Lead data engineering engagements to design, build, and maintain ETL/ELT pipelines and cloud data architectures. Manage client accounts and mentor teams, leverage tools like DataStage, AWS/Redshift, DB2/SQL Server, GoldenGate, and BI/visualization platforms to deliver analytics, performance tuning, and scalable reporting solutions.

The Senior Analyst in AML KYC will conduct detailed customer onboarding, monitor client relationships for compliance, and update KYC records while utilizing AI tools for efficiency.

Develop and support Plan Sponsor & Consultant reporting and dashboards. Extract, manipulate and analyze data (SQL, R/Python/SAS), apply statistical inference, automate reports, and communicate actionable insights to business partners to inform decisions.

Design, build, and maintain dbt Core models and Snowflake data models to produce analytics-ready datasets. Lead ELT architecture, ensure data quality/testing/documentation, optimize performance, use Python for automation, mentor engineers, and support governance and AI reporting initiatives.

Designs and implements large-scale data solutions using Java and open-source big data technologies (Hadoop, NoSQL, Solr, Storm, Kafka). Participates in architecture and design discussions, delivers implementations, collaborates with senior architects and offshore teams, authors technical papers, and shares knowledge across the organization while ensuring performance, scalability, and timely quality delivery.

Administer and maintain SAP BusinessObjects BI 4.x environment including upgrades, patching, backups, performance monitoring, security (Windows AD/SSO), LCM migrations, BO Universe and IDT development, SQL-based troubleshooting, and collaboration with business users and ETL teams. Knowledge of data warehousing and BI best practices required; P&C insurance domain experience is a plus.

Design, architect, and implement large-scale big data solutions (GB/PB) using Java/J2EE and open-source stacks (Hadoop, NoSQL, Solr, Storm, Kafka). Define architectures, ensure NFRs (performance, scalability, monitoring), guide clustered deployments and hardware considerations, coach offshore teams, present designs to executives, produce whitepapers/case studies, and ensure timely, quality deliveries.

The Data Entry Specialist will accurately enter, update, and verify data, maintain records, and assist in data analysis, making it a suitable role for entry-level candidates.

Build and maintain Domo dashboards and reports, transform and model raw data with ETL and SQL, validate data quality, document metrics and sources, and help evolve data infrastructure toward Snowflake/dbt while using AI to automate repetitive tasks and support cross-functional stakeholders.

Design, build, and maintain supply chain and logistics reports, dashboards, and data models. Write and optimize SQL, validate data accuracy, automate recurring reports, establish KPIs, document reporting logic, and partner with stakeholders to translate business needs into scalable analytics solutions.

Senior Data Engineer responsible for designing and implementing data solutions, ensuring data quality, and optimizing data systems.

Design, build, and maintain ETL pipelines, data warehouses, dashboards, and analytics models. Lead projects, mentor developers, deploy models (in-database and production), and create self-service reporting and single source-of-truth architectures. Implement automation, performance tuning, and documentation; evaluate new technologies and POCs, with optional generative AI/RAG work.