Data Analyst Jobs in Irving, TX

Maintain and improve master data quality by identifying and correcting errors, cleansing duplicates, defining data standards, documenting processes, and collaborating with SMEs and IT. Use SAP and advanced Excel to manage and analyze customer data.

Analyze territory and retention data to maximize revenue and margin, partnering with sales leaders and driving financial analyses for decision-making.

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.

The Senior Insurance Data Analyst will develop data pipelines, implement predictive models, conduct data analysis, and communicate insights to teams. They will ensure data integrity and create visual dashboards for business intelligence.

Mid-level analyst who performs data analysis, builds and maintains dashboards and reports, gathers requirements, conducts ad-hoc and marketing/sales analyses, collaborates with stakeholders, and presents clear data-driven recommendations. Proficient in SQL and Tableau with a focus on improving technical skills and analytical outputs.

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 role involves guiding B2B CMOs in advertising strategy, providing market insights, developing media strategies, and creating actionable content. The Senior Director will also mentor less experienced team members and support sales efforts.

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.

Design, build, and maintain production-grade ETL/ELT pipelines and data models using dbt, Spark, and cloud platforms. Manage ingestion, data quality, observability, semantic layers, and BI outputs. Collaborate with analysts and data scientists to deliver governed, high-quality data products and implement DataOps and CI/CD practices.

Lead and operationalize data quality programs: measure and report DQ metrics, run remediation and issue management, drive data improvement initiatives, liaise with stakeholders, and support senior management on data governance and risk-aware decisions.

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