Top Analysis Reporting Jobs in Dallas, TX

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.

Leads global engagement strategy for Crunchyroll’s streaming platform by analyzing consumer behavior, content performance, engagement KPIs, and lifecycle journeys. Develops strategies to increase viewing frequency, habit formation, retention, and subscriber value. Partners with Product, Lifecycle, Consumer Insights, Data Science, and Analytics teams to prioritize initiatives, design measurement frameworks, evaluate experiments, segment audiences, and translate complex data into executive-level recommendations.

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.

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.

Designs, builds, and maintains scalable data pipelines, microservices, and cloud-based data systems. Develops real-time and batch processing solutions using Python, Java, and AWS services; creates data integrations and workflows; translates requirements into system designs; implements testing and validation; and monitors distributed pipelines for reliability, performance, and data quality.

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.

Leads global contact center capacity planning, forecasting, headcount, and hiring strategies. Builds predictive staffing models using Python, analyzes contact flows and staffing accuracy, and develops reports with MicroStrategy, Alteryx, and Power BI. Communicates data-driven recommendations to executives, partner managers, vendors, and operations teams while managing planning initiatives and optimizing service levels, customer experience, and costs.