Top Senior Data & Analytics Jobs in Dallas, TX

Partner with analytics teams to measure and improve marketing effectiveness; build AI-enabled detection and alerting solutions; translate business questions into analytical approaches; deliver actionable recommendations; own projects end-to-end and communicate insights to technical and non-technical stakeholders.

Provide data architecture leadership for Payments Operations: define metadata, systems of record, data quality, and domain models; design data delivery and analytics capabilities; profile and transform data using Python/PySpark/SQL; collaborate with product, analytics, and tech teams; research emerging technologies and implement data solutions.

Lead enterprise efforts to define and enforce metadata, semantic, and data-readiness standards. Profile domains, surface and remediate quality/definition gaps, convert fixes into scalable patterns, build prototypes for analytics and AI use cases, and report readiness scorecards and KPIs to senior stakeholders.

Build and scale continuous monitoring and anomaly detection for Personal Lines Auto pricing programs. Analyze large datasets to detect issues, improve data quality, automate reporting, create dashboards and frameworks, and communicate findings to technical and business stakeholders. Partner cross-functionally to investigate root causes and support program-level monitoring for launched pricing programs.

Lead data validation and risk analytics practice, set strategic direction, manage multiple client engagements, and drive business development. Use Alteryx and Python for data integration, build dashboards in Power BI/Tableau, apply predictive analytics and statistical modeling, ensure data integrity/security, mentor teams, and cultivate executive client relationships.

Lead design and implementation of data architecture for healthcare systems, influence stakeholders, mentor teams, ensure regulatory compliance, enable data integration and transformation, and apply AI techniques to improve healthcare operations and reporting.

Lead development and implementation of data governance strategies, manage client accounts and deliverables, supervise and mentor teams, analyze data to inform business decisions, ensure compliance with firm standards, and identify improvements in data management processes.

As Senior Manager of Data Analysis, you will validate analytical tools, manage validation projects, assess quality and risks, and mentor junior staff.

Design and lead enterprise-scale data architecture across hybrid and on-prem platforms. Define patterns for application, analytics, workflow, and AI workloads, mentor teams, influence senior leadership, and drive modernization, security, scalability, and TCO/ROI decisions.

Client-facing BI leader who translates large wholesale datasets into actionable insights. Designs SQL/Snowflake queries, builds analytical frameworks and reports, partners with Sales and Data Science, drives BI infrastructure improvements, manages complex projects, and mentors junior analysts to support strategic decision-making.

Lead and develop a team delivering data conversion for customer implementations. Drive adoption of AI and automation, manage complex/at-risk migrations, track KPIs, and improve processes through experimentation and transformation.

The Director, Research - Power Markets is responsible for leading the QA/QC process for long-term forecasting, advising leadership, and ensuring market insights are effectively integrated into forecasts.

The Senior Analyst in AML KYC will conduct detailed customer onboarding, monitor client relationships for compliance, and update KYC records while utilizing AI tools for efficiency.

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.