Top Entry Level Data & Analytics Jobs in Phoenix, AZ

Supports enterprise data initiatives through data quality checks, cleanup, documentation, dashboards, reporting, and prototype development. Learns data governance, security, cloud platforms, SAP, analytics tools, and system integration. Collaborates with senior IT leaders and cross-functional teams while developing foundational skills in Python, SQL, data preparation, cloud technologies, predictive analytics, and enterprise applications.

Partners with business and technical stakeholders to define data and reporting needs. Develops, tests, maintains, and improves BI solutions, including reports, dashboards, data flows, and analytical models. Queries and structures data from multiple sources, validates data quality, performs statistical analysis, creates experiments, and presents actionable insights and recommendations to stakeholders.

Collects, analyzes, and validates aircraft system data; prepares and publishes monthly CASS reports; monitors mechanical interruptions, service difficulties, and adverse trends; reports qualifying events to the FAA; compiles fleet-level statistics; identifies irregularities; and submits data reports to manufacturers, regulatory agencies, and other entities.

Import, transform, and load data from external sources into production databases. Ensure data consistency and quality, collaborate with internal/external stakeholders, support segmentation updates, and assist with displaying data in web applications. Begin onsite for training in Mesa, AZ, then transition to a hybrid schedule.

Develop and enhance CGI Advantage HRM and ERP data integrations, Snowflake data pipelines, reporting datasets, and Power BI dashboards. Build semantic models and DAX solutions, troubleshoot data quality and integration issues, translate business requirements into scalable BI solutions, and collaborate with ERP, HR, data, and business stakeholders.

Designs enterprise database architectures and scalable data solutions across relational, NoSQL, cloud, and on-premises environments. Responsibilities include data modeling, database performance optimization, security, disaster recovery, cloud migration, automation with Python, and support for AI/ML, vector database, and RAG architectures. The role also provides technical leadership, documentation, architecture reviews, troubleshooting, and team mentorship.

Analyzes and reconciles data from multiple sources, performs data profiling and quality assessment, creates conceptual, logical, physical, dimensional, and relational data models, documents source-to-target mappings, develops visualizations, and collaborates with data scientists, business partners, data stewards, and architects on governance and data protection.

Collects and analyzes data, maintains databases, and creates recurring and ad hoc reports, dashboards, graphs, presentations, and documentation. Monitors progress toward business outcomes, supports decision-making, evaluates reporting processes, and recommends workflow and operational improvements. The role also assists with special projects and occasional meeting logistics under direct supervision.

Audit, troubleshoot, and improve client web and mobile analytics implementations; implement and QA tracking via tag management; generate and present scheduled and ad-hoc reports; identify KPIs and measurement strategies; provide technical documentation and support to development and performance teams to ensure accurate data collection and actionable insights.

Build, maintain, and communicate reports and dashboards; collaborate with stakeholders and senior analysts to design data solutions; explore and model datasets to derive insights; support reliable access to data; promote adoption of BI tools; participate in knowledge sharing and continuous improvement of analytic practices.