Top Entry Level Data & Analytics Jobs in Phoenix, AZ

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.

Maintain and verify client and account data accuracy through data entry, research, troubleshooting, quality control, and cross‑department collaboration. Support onboarding, training, and special projects while responding to stakeholder inquiries.

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.

The job requires an Informatica consultant with skills in scripting (Python, Perl, Shell) and experience with Oracle and SQL Server. The position is urgent and for a minimum of 12 months.

This role offers training for aspiring Data Engineers, focusing on technology of choice, interview preparation, and skill enhancement with guidance on OPT STEM extension.

Develop, maintain, and optimize SAS programs for data extraction, transformation, analysis, and reporting. Collaborate with analysts and stakeholders to ensure data quality, documentation, and reproducible analytics workflows.

Develop and modify Microsoft SSRS reports; define report data requirements, specifications, templates, and design; perform data and report quality assurance; and train staff on SSRS, Access, and Excel.

AZLottery seeks a Business Analyst for a 3-month project. Responsibilities include developing Crystal Reports from various data sources.

The Business Systems Analyst at Collabera will analyze and manage large datasets, create reports using Excel and Access, and collaborate with stakeholders. Strong problem-solving and communication skills are essential.

Optimize database needs using MongoDB, configure instances, automate tasks, provide support, set up backups, and perform tuning.