Top Data & Analytics Jobs in Dallas, TX

Build and maintain scalable data platforms, batch and real-time pipelines, cloud data solutions, databases, and data integration processes. Improve automation, scalability, monitoring, testing, and data quality while operationalizing data jobs and models. Partner with data scientists, analysts, and business stakeholders to deliver trusted data products supporting pricing decisions, analytics, automation, and AI-enabled outcomes.

Leads architecture strategy for a multi-year core banking modernization program. Defines current, target, and transition architectures; establishes standards and frameworks; guides platform, vendor, integration, and migration decisions; and advises senior executives. The role requires data strategy expertise, customer data domain knowledge, cloud-based operational and analytical platform experience, investment planning, and collaboration with engineering and delivery teams across the enterprise.

Analyze AML and sanctions data to identify trends, exceptions, and patterns. Build dashboards, recurring reports, and visualizations; clean and reconcile data; automate tasks using Python and analytics tools; translate business questions into analytical outputs; document methodologies; and collaborate with project teams supporting banking clients and regulatory standards.

Develop global engagement strategies for Crunchyroll’s streaming platform using consumer behavior, audience segmentation, experimentation, and analytics. Analyze viewing journeys, engagement barriers, churn signals, and lifecycle interventions. Build measurement frameworks, define success metrics, evaluate A/B tests, and identify strategies that strengthen viewing habits and retention. Partner with Product, Data Science, Lifecycle, Curation, and Consumer Insights teams to translate complex behavioral data into executive-level recommendations and prioritized initiatives.

Advise Technology stakeholders on data ownership, governance, risk, and management practices. Lead maturity assessments, strategic roadmaps, operating model improvements, metrics, executive reporting, and capability enhancement initiatives. Partner with senior leaders across Technology, Risk, Controls, and CDAO to improve data quality, metadata, regulatory alignment, and governance effectiveness. Identify opportunities to apply AI, automation, and modern data platforms to scale data management outcomes.

Leads TFB Sales analytics and compensation execution focused on Total Billed Revenue. Owns quota methodology, analyzes seller activity, validates compensation data, resolves inquiries, develops reporting and decision-support tools, and communicates insights to leadership. Partners with segment owners and senior management on quota and compensation initiatives while supporting operational continuity and team cross-training.

Leads Liberty Mutual’s Global Legal & Compliance Data Office and owns its data and AI strategy, governance, quality, architecture, enablement, and investment roadmap. The role integrates product management, data science, knowledge management, and information services while ensuring regulatory compliance, data readiness, and alignment with enterprise strategy. It drives data maturity, change leadership, cross-functional collaboration, and adoption of data-driven practices across legal and compliance teams.

Supports Finance and cross-functional teams by building data pipelines, improving data quality and governance, automating reporting, developing Power BI dashboards, applying AI and analytics, and contributing to financial models, forecasts, reconciliations, and executive insights.

Designs, builds, and maintains secure data pipelines, ETL processes, data warehouses, and quality controls. Collects, validates, cleanses, and analyzes data; develops SQL queries, Tableau dashboards, and AWS-based solutions; investigates data integrity issues; documents standards; and partners with stakeholders to deliver technical solutions using Agile and DevOps practices.

Manages data risk for Capital One’s Risk Management organization by ensuring compliance with enterprise data standards, developing governance strategies and processes, monitoring data management activities, identifying remediation needs, and reporting gaps to leadership. The role provides guidance, influences enterprise policies, collaborates with stakeholders, supports change management, and addresses risks involving complex data systems and usages.