Top Senior Data & Analytics Jobs in Dallas, TX

Lead market performance analysis and strategy to drive volume and growth across Wireless, Fiber, and AIA. Deliver executive-ready insights, build driver-based forecasts and reporting, partner with cross-functional teams, and apply AI-enabled analytics and automation to improve decision-making and execution readiness.

Develop and maintain Adobe Analytics dashboards and reporting solutions, query and analyze enterprise data, identify performance trends, and deliver actionable insights for digital acquisition teams. The role defines metrics, supports strategic decisions, presents recommendations to stakeholders, trains business users, and partners with product and technology teams to improve digital customer experiences.

Manages Production Master Data objects, including SAP configuration, mass updates, and data conversion. Ensures data integrity, governance, security, lineage, and auditability while analyzing business processes and developing reusable data engineering frameworks. Collaborates with technical and business stakeholders to implement secure data solutions, integrate diverse content sources, and support production data systems. The role requires expertise in SAP master data, cloud platforms, ETL/ELT, data modeling, secure architecture, and regulated data environments.

Develop and support critical ETL applications and data pipelines for Treasury systems. Responsibilities include L3 production support, incident resolution, root cause analysis, ETL and data integration development, technical design, data quality and governance, audit compliance, performance optimization, automated testing, release automation, and collaboration with distributed teams. The role also mentors junior developers and promotes CI/CD and operational best practices.

Leads hands-on enterprise data engineering and architecture across Microsoft Fabric and Azure. Designs and optimizes data warehouses, pipelines, integrations, data models, BI solutions, DevOps practices, security, reliability, observability, and data quality standards. Troubleshoots complex production issues, guides AI enablement and Power BI capabilities, conducts technical reviews, and mentors engineers. The role requires advanced SQL, T-SQL, Python, PySpark, Data Vault, dimensional modeling, cloud data platform expertise, and technical leadership.

Coordinates complex business impact analyses, consolidates forecast and month-end results, prepares executive reporting, and develops solutions for business needs. Collaborates with business and technical teams on product enhancements, optimizes reporting processes, supports internal audits, and serves as a data expert for selected applications. The role requires advanced data analysis, visualization, problem-solving, presentation, and stakeholder leadership skills in a hybrid healthcare business environment.

Designs, develops, and supports scalable ETL pipelines and large-scale data platforms using Python, PySpark, SQL Server, SSIS, and Hadoop technologies. Responsibilities include database performance tuning, data modeling, production troubleshooting, batch scheduling, data-quality controls, CI/CD, secure development, and collaboration across technical teams. The role also involves mentoring developers and evaluating AI-assisted development tools.

Lead complex marketing and media analytics engagements, developing scalable reporting, dashboards, measurement frameworks, and analytical solutions. Use SQL, Python, or R and advanced methodologies such as media mix modeling, lift testing, incrementality testing, and experimental design to evaluate performance. Translate complex findings into strategic recommendations, influence client KPIs and investment decisions, resolve data-quality challenges, establish best practices, and mentor analytics professionals.

Leads architecture, development, and optimization of enterprise data platforms using Microsoft Fabric and Azure. Designs Lakehouse, OneLake, Spark, SQL, ETL/ELT, data models, and reporting solutions. Collaborates with business, IT, and vendors; supports compliance, documentation, SDLC, change management, and DevOps practices. Provides technical expertise and contributes to AI, Copilot, advanced analytics, and cloud-native data initiatives.

Lead analysis and optimization of enterprise authentication fraud strategies. Evaluate authentication performance, identify risks and trends, conduct root-cause analyses, develop monitoring metrics, partner cross-functionally, support model governance, evaluate vendor solutions, and translate analytics into strategic, executive-ready recommendations to reduce fraud losses while preserving customer experience and compliance.