Data Analyst Jobs in Irving, TX

Design, deploy, and operationalize production AI/LLM solutions (RAG, agents, vector DBs) to detect and monitor enterprise risks. Build prompt libraries, AI governance, APIs, dashboards and visualizations. Lead risk analytics, translate insights into executive reporting, advise stakeholders, and mentor analysts to scale AI-driven risk monitoring and remediation.

Perform analysis across content, interactions, events, demand sensing, staffing, and cost reporting. Build dashboards and reports, automate processes, validate data quality, and communicate actionable insights to stakeholders. Own project workstreams, collaborate with IT and data scientists, and support continuous improvement of analytics tools and operational processes.

Lead and drive data strategy and analytics initiatives; design data models and simulations; perform advanced statistical analysis; lead cross-functional teams; mentor junior analysts; improve data collection and analysis processes; and present findings to executive leadership.

Support enterprise D365 F&O and Project Operations data migration by profiling source data, building source-to-target mappings, extracting and validating datasets with SQL, managing data-quality logs and reconciliation, supporting UAT and cutover, and documenting repeatable migration playbooks and training materials.

Design, build, and maintain supply chain and logistics reports, dashboards, and data models. Write and optimize SQL, validate data accuracy, automate recurring reports, establish KPIs, document reporting logic, and partner with stakeholders to translate business needs into scalable analytics solutions.

Support creation, maintenance, and quality of master data across ERP and business systems. Perform data validation, cleansing, governance, integrations monitoring, reporting, documentation, project testing, and basic end-user support.

The job requires a Data Analyst with 6-7 years of experience, specifically 2 years in R programming, to perform data analysis using R.

Lead operationalization and validation of Agentic AI and GenAI solutions: define validation frameworks, analyze production agent data, create observability dashboards, detect anomalies/hallucinations, support deployments and A/B testing, and deliver actionable insights to improve models and business outcomes.

The Senior Data Analyst at Orion180 will develop data pipelines, implement predictive models, and create visualizations while collaborating across teams to improve decision-making and insights.

Lead and own data quality activities including analysis, remediation, and program implementation. Resolve complex data issues, manage processes and reports, supervise junior staff, present status to stakeholders, and ensure compliance with policies and controls in banking data domains.

The Taleo Consultant is responsible for analyzing and optimizing the Taleo system, ensuring effective HR management processes.