Top Analytics Jobs in Dallas, TX

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.

Lead quantitative and qualitative analyses to develop, implement, and monitor credit risk strategies across the card lifecycle. Define problems and success metrics, analyze customer and portfolio performance, design monitoring/reporting, perform root-cause investigations, and translate findings into executive-ready recommendations. Partner cross-functionally to implement policy and controls while ensuring governance and regulatory alignment.

Lead infrastructure analytics for Banking & Wealth Management, building measurement, forecasting, optimization, and control frameworks for token/GPU/core infrastructure. Partner with technology and finance stakeholders to create forecasting models, self-service dashboards, KPI scorecards, data governance, capacity planning, and executive-ready materials to inform investment and operational decisions.

Lead advanced analytics and measurement initiatives that address complex business questions and inform enterprise decisions. Partner with HR and business leaders, develop statistical analyses and evaluation frameworks, synthesize data, and present actionable recommendations through compelling storytelling. Manage cross-functional projects, influence stakeholders, establish analytical direction, research emerging techniques, and mentor analysts while advising on talent, culture, employee experience, organizational health, and leadership.

Lead valuation and risk analytics for credit card portfolios, supporting quarterly FAS107 asset valuation. Maintain and deploy models, perform data reconciliation, forecasting, and documentation. Drive moderately complex analytics initiatives, collaborate with stakeholders, and mentor junior staff to deliver decision-focused insights and validated models.

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.

Lead end-to-end architecture strategy for a multi-year core banking modernization program. Define target and transition architectures, govern design decisions, advise senior leaders, drive data/platform strategy, guide vendor/platform selection, ensure standards and consistency across domains, and influence delivery and investment decisions to realize target state.

Conduct independent, high-complexity analytics for Liberty Mutual’s Embedded Channel. Apply advanced statistical techniques, predictive modeling, A/B testing, and complex data analysis to optimize funnels, questionnaire design, and underwriting defaults. Build analytic tools, manage research projects, synthesize diverse data sources, and deliver actionable recommendations. Present findings to senior leadership and influence decisions affecting profitability, growth, and customer satisfaction.

Conduct independent, high-complexity analytics for Liberty Mutual’s Embedded Channel, focusing on funnel optimization, A/B testing, questionnaire design, underwriting defaults, and predictive modeling. The role synthesizes complex data, develops analytical tools, manages research projects, and presents actionable recommendations to senior leadership that influence growth, profitability, and customer satisfaction.

Lead complex data initiatives from discovery through implementation and adoption. Define data structures, integrations, governance requirements, metrics, validation criteria, and reusable patterns across heterogeneous systems. Partner with business, product, technology, and data-governance teams to establish trusted data foundations, modernize legacy processes, support platform migrations, and enable reliable operational decisions and responsible AI capabilities.

Lead credit portfolio monitoring and risk analysis for a large commercial loans portfolio. Deliver dashboards, deep-dive analytics, and executive-ready insights for senior stakeholders. Own ad-hoc analyses, improve data quality and reporting products, and drive automation and analytics tooling adoption to inform portfolio management and risk decisions.

Analyze large financial datasets to identify fraud risk trends, develop key risk indicators, build automated dashboards and recurring reports, and collaborate with stakeholders to inform and monitor fraud detection strategies while ensuring compliance and data governance.

Lead definition and execution of enterprise data strategy and modern data ecosystems (lakehouse, data mesh, knowledge graphs, streaming). Design cloud-native architectures, data models, pipelines (ETL/ELT), governance, and reusable data products to support analytics, reporting, personalization, and AI use cases while ensuring compliance with enterprise standards and regulatory requirements.

Design and maintain core SMB Payments metrics and dashboards, perform deep-dive analyses to surface trends and drivers, build scalable datasets and self-service analytics, and apply LLM/AI techniques to augment analytics while ensuring secure, auditable production solutions.

Lead marketing performance analytics to optimize digital acquisition funnels, measure channel and customer-level outcomes, build repeatable datasets and automation, define measurement standards, partner with Product and Technology, and quantify impact through test-and-learn approaches and operational improvements.

Lead end-to-end MIS delivery including requirements, data acquisition, ELT/ETL pipeline development, validation, and dashboarding. Build automated pipelines, implement CI/CD/version control, apply advanced analytics (forecasting, anomaly detection, segmentation), enforce data quality and governance, translate insights for executives, prioritize and manage initiatives, mentor junior staff, and ensure audit-ready documentation and reproducibility.

Support home lending risk strategy by performing data-driven analyses, identifying trends, monitoring emerging housing and regulatory risks, and delivering clear recommendations and visualizations. Partner with Risk Policy, Product Strategy, and cross-functional teams to design risk segmentation, controls, and performance monitoring to align growth with the firms risk appetite.

Lead and mentor an analytics team to modernize reporting, deliver automated data solutions, and improve business decisions. Manage a high-complexity reporting portfolio, translate stakeholder needs into analytical designs, champion data quality and documentation, and implement scalable workflows and visualization to drive business impact.

Manage execution, testing, validation, and monitoring of pricing changes in Auto financing systems (CPE and LAZER). Act as liaison between Technology, Pricing, and Finance teams, develop requirements and test plans, run simulations, document results, support system upgrades/disaster recovery, and perform ad hoc portfolio performance and exception analysis.

Translate business needs into scalable analytical products for identity onboarding. Define success metrics, assess data readiness, build and productionize models (including generative AI), perform exploratory analysis and experimentation, create reusable analytics products, and communicate insights to technical and non-technical stakeholders to drive onboarding growth and risk-aware delivery.

As a Senior Analyst, Strategic Analytics, you will drive and oversee analytics projects through their lifecycle, formulate business strategies, and collaborate across teams to enhance profitability.

Lead enterprise data strategy and a 15+ person team to commercialize a large fan data asset via data products, analytics, AI/LLMs, data governance, clean rooms, and BI to drive revenue, sponsorships, personalization, and measurable ROI for school and brand partners.

Design and implement data models and views for integrating legacy systems with ITBA, focusing on managing various data sources and deriving KPIs for scorecards.

Administer and govern Power BI environments, dashboards, data models, and reporting systems for construction project controls. Develop analytics, data dictionaries, metadata, lineage documentation, process manuals, and governance artifacts. Connect source systems, support ODS structures, validate reports, and ensure data accuracy. Train project controls and construction users, collaborate with IT and project teams, and may supervise staff. The role requires advanced Power BI, DAX, Power Query, SQL, and construction data expertise.

Design and govern scalable Azure-based data platforms and lakehouse architectures, lead data modeling (relational, dimensional, Data Vault), build high-throughput batch and streaming pipelines, enable data governance and security, integrate analytics/ML feature stores and LLM gateways, and partner with engineering and business teams to deliver production-ready data products and Power BI semantic layers.