Top Entry Level Data & Analytics Jobs in Phoenix, AZ

Supports the eDiscovery Legal Team by managing litigation holds, document collection, subpoenas, legal databases, reporting, and data discovery workflows. Maintains databases and custom scripts, develops dashboards and reports, improves data quality and operational processes, evaluates legal technologies, and documents technical procedures. The role requires collaboration with legal and technical teams, analytical problem-solving, secure data handling, and administration of legal technology tools.

Operate baseball technology and data acquisition systems during practices and games; collect, clean, map, analyze, and deliver video and player data. Maintain and troubleshoot hardware and software, calibrate pitching machines, mark high-speed video keyframes, administer assessments, support coaching staff and players, and travel with the team. The seasonal role includes remote training, Spring Training in Arizona, and deployment to a minor league affiliate.

Leads a data engineering team that builds scalable big data applications and ETL workflows. Oversees data quality, security, privacy, architecture, documentation, and operational efficiency. Develops reusable Python and SQL code for data warehouses, distributed processing, cloud platforms, and data-driven solutions. Collaborates with application architects, development teams, project teams, and business stakeholders while supervising team activities and meeting project priorities.

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.

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.