Data Analyst Jobs in Irving, TX

Analyzes enterprise fraud data across deposits, digital, payments, authentication, and account lifecycle domains. Evaluates fraud decisioning, alerts, losses, false positives, customer friction, queue performance, and operational efficiency. Develops measurement frameworks, dashboards, performance metrics, and executive insights; conducts root-cause and trend analysis; quantifies benefits, risks, costs, and tradeoffs; and partners with Fraud Strategy, Risk, Operations, Technology, and AI/ML teams to improve fraud controls and prioritize investments.

Analyze client performance, KPIs, utilization trends, and operational benchmarks using large healthcare datasets. Build reporting views, dashboards, reusable queries, models, and notebooks for Client Success and Operations. Conduct cohort, benchmarking, root-cause, and network opportunity analyses, then translate findings into clear narratives for executives and clients. Partner with analytics leadership to improve analytical standards, documentation, and reusable frameworks.

Analyzes pharmacy, healthcare, and business datasets to identify trends, opportunities, and program outcomes. Writes optimized SQL, ensures data quality, collaborates on scalable data pipelines, and develops operational dashboards and KPIs using Power BI and Sigma. Presents analytical findings to technical and non-technical stakeholders, leads projects independently, gathers business requirements, and uses AI tools to improve analytical efficiency and output quality.

Support analytical projects across Gartner's BTI and Product teams: analyze large datasets, build dashboards and reports, apply ML/AI and LLM tools, assist data pipeline setup, collaborate with data engineering and IT, and communicate insights to stakeholders. High-performing interns may receive full-time offers.

Entry-level Associate Data Analyst supporting analytics, data science, data engineering, and project management rotations. Deliver insights, build dashboards, automate reporting, partner with stakeholders, and apply ML/LLM tools to drive product and client analytics.

The Data Governance Analyst will develop data standards, conduct quality assessments, maintain documentation, collaborate with teams, and participate in training on governance practices.

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.

Design and deploy AI-driven analytics and automation for Internal Audit: build Copilot-enabled solutions, automate SOX and operational testing, create reusable data models and dashboards, migrate SQL Server assets to Snowflake, partner with auditors to translate requirements into repeatable analytics and improve audit efficiency and coverage.

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.