Top Artificial Intelligence Data & Analytics Jobs in Dallas-Fort Worth, TX

As a Data Engineer, you will build and optimize data pipelines, manage ETL workflows, and ensure efficient data access and quality within the infrastructure.

As a Senior Data & Analytics Engineer, you'll lead data initiatives, manage a team, and ensure data quality while turning insights into actionable decisions across the company.

The Data and Analytics Consultant will design, develop, and implement data reporting, visualizations, and analytics solutions for clients while assisting them in data understanding and value extraction.

The Data Architect will lead database management, conduct data analysis, and work with stakeholders to align data requirements with business objectives.

The Strategic Insights Lead analyzes healthcare data to shape business strategies, delivers impactful insights, and collaborates with various teams to ensure clarity and actionability in findings.

As a Business Analyst in Partnerships, you will build analytics infrastructure, identify data issues, and conduct market research to guide strategic decisions.

As a Data Engineer at LiveKit, you will manage the analytics infrastructure, develop scalable GCP-based data pipelines, and ensure effective data movement and transformation processes, while collaborating with the Analytics and engineering teams.

The Business Intelligence Developer Senior Specialist will develop and optimize BI applications, ensuring data accuracy and integration with various platforms while collaborating with team members and stakeholders to deliver actionable insights.

Design, build, and scale data pipelines and integrations for the TDX platform. Implement REST API integrations, ingest and unify customer data, optimize pipelines for performance and quality, ensure data security and governance, and collaborate with Product, Data Science, and customer teams to deliver reliable analytics-ready data.

Serve as the primary data partner for Fundraising & Marketing: design and build source-of-truth data models in the lakehouse, create forecasts and donor cohort analyses, automate reporting and data products, support experiment design and ROI measurement, partner with engineering and Salesforce to improve data quality, and translate insights for leadership to drive fundraising strategy.