Top Hybrid Senior Level Data & Analytics Jobs in Dallas-Fort Worth, TX

Design, implement, and maintain BI solutions and analytics to deliver client insights. Use tools like Oracle BI, QlikView, and Spotfire, analyze complex data sets, build data pipelines, collaborate with stakeholders, manage teams, and uphold professional and technical standards to improve business performance.

Lead BI initiatives and client accounts to deliver strategic insights. Design and implement BI and cloud analytics solutions, validate data integrity and compliance, optimize data utilization, mentor teams, manage project planning/budgeting, and drive continuous improvement.

Lead data-driven initiatives and develop business intelligence and cloud analytics solutions to drive client decision-making. Manage and mentor analytics teams, own project planning/budgeting/execution, analyze complex data systems, and uphold professional standards while encouraging innovation and continuous improvement.

Lead definition and execution of card systems and data architecture strategy, design target-state architectures (lakehouse, streaming, data mesh, knowledge graphs), drive integrations and APIs, ensure compliance and resiliency, and collaborate across product, engineering, infrastructure, and operations to deliver scalable, secure card-processing and analytics solutions.

Lead data management strategy and risk frameworks for the Global Payment Network. Define and monitor KRIs, oversee data controls, data quality monitoring, metadata health, and data issue management. Manage and develop a team of data professionals.

The Data Engineer Senior role involves developing data solutions, leading analysis efforts, and designing data service infrastructures within financial services using various technologies.

Lead development, maintenance, and governance of ADSD dashboards and reporting tools. Own performance metrics, ensure data integrity, design dashboards and AI agents, support leadership and field teams, lead metric rollouts and calibration, and provide insights to drive operational decisions.

As a Pricing and Revenue Planner, you will manage pricing analytics, forecasting, synthesizing data into actionable insights, and collaborating with various teams to drive revenue improvements and profitability analysis.

Lead reporting and funnel analytics to measure and improve member conversion. Own dashboards, data validation, and ad hoc analyses; define funnel methodology; build MS Gap analysis; mentor analysts; partner with Member Services and Operations to translate data into executive-level recommendations and automated reporting.

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 Principal Technical Product Analyst will strategize and enhance observability and AIOps capabilities, promote insights into operational efficiency, and lead cross-functional collaboration while ensuring standards and frameworks are established.

Lead and govern the enterprise common data model across conceptual, logical, and physical layers. Define modeling standards and metadata, resolve semantic conflicts, collaborate with architects and SMEs, integrate data across ERP/PLM/MES/MRO/IoT/analytics platforms, ensure compliance, mentor modelers, and communicate strategy to technical and executive stakeholders.