Top Entry Level Data & Analytics Jobs in Dallas, TX

The job involves analyzing data to support business decisions and help improve profitability but lacks detailed responsibilities in the description.

Develop, optimize, and maintain SAS programs using DATA step, PROC SQL, and SAS Macro. Work with Sybase data, UNIX scripting, and legacy code; perform data modeling/architecture, share SAS knowledge, and communicate results to stakeholders.

Contribute to building and maintaining cloud-based data pipelines and data products. Develop, test, and optimize SQL and Python transformations, participate in code reviews, troubleshoot data quality issues, and follow CI/CD and documentation practices to support analytics and AI initiatives.

Collect, convert, and analyze geospatial data; create maps and visualizations; maintain spatial databases and metadata; support GIS data management, quality control, and workflow improvements while collaborating with project teams and receiving mentorship from senior GIS staff.

Provide administrative support for BI initiatives, assisting the BI department with day-to-day coordination, documentation, and governance tasks. No specific project assignment; interacts with internal BI teams to manage administrative work related to SOX/governance.

Develop and maintain Teradata solutions including remediation and TPT workflows. Work with Unix, Hadoop, ETL tools and mainframe integrations to support data processing and ETL operations.

Entry-level role supporting enterprise systems, BI, and analytics. Assist with system integration, setup, maintenance, data-driven reporting, stakeholder collaboration, and multi-project coordination while participating in training and mentorship through a graduate launch program.

Develop and execute pricing models and analyses to optimize trailer sales profitability across assigned stores and markets. Use large datasets and competitor surveys to recommend pricing, support field initiatives, monitor pricing adherence, and communicate insights to leadership and stores.

The Data Quality Analyst will manage customer data quality by correcting errors, identifying trends, tracking issues, and assisting in user-acceptance testing, while training new team members.