Top Senior 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.

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.

Design and deliver reusable data products, validation rules, data movement and orchestration. Build Power Apps and automated workflows, develop semantic models and curated tables, and write production SQL to support reporting and downstream users. Translate ambiguous business needs into scalable analytic solutions, emphasizing reusability, spec-driven design, and automation.

Support product analytics for employee digital products by integrating digital and offline data, building measurement frameworks, creating visualizations and insights, collaborating with product and engineering to translate goals into specifications, and enabling BI capabilities to inform product roadmap and improve employee experience.

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.

Provide advanced analytical support to Enterprise Procurement by synthesizing large datasets, developing dashboards, and delivering insights to influence procurement strategy. Lead project workstreams, present recommendations to stakeholders, maintain reporting infrastructure, collaborate with data providers and business partners, and mentor teammates. Evaluate tools, processes, and apply AI/GenAI and automation to drive expense-saving opportunities and operational efficiency.

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 analytics for branch network optimization, new branch and ATM strategy by integrating internal and external data, producing actionable insights, presenting to senior leaders, and partnering cross-functionally to champion analytics best practices.

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.

Lead end-to-end analytical projects for alternative lending: define metrics, source and analyze data, design experiments, build reports and present insights to senior leadership to influence product and customer strategies.

Design and implement scalable approaches to formalize product-level data semantics across heterogeneous systems. Build reusable linkage and metric patterns, embed governance (lineage, ownership, validation), partner with data owners and technology teams, manage intake/prioritization, support platform migrations, and develop the distributed analytics team.

Support and maintain operational reporting and dashboards for Payments Operations. Execute and validate scheduled reports, perform data quality reconciliation, triage issues, produce ad hoc analysis, document metrics and controls, and partner with stakeholders to automate processes and improve reporting reliability and auditability.

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.

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 Director of Advanced Analytics & Governance leads analytics strategy, ensures data governance, and drives analytics initiatives across the organization, managing a team and collaborating with stakeholders to deliver impactful insights.

The Vice President/Director of Operations Analytics will drive strategic initiatives, improve collections, and enhance customer experiences using data and analytics. Responsibilities include leading teams, developing analytical strategies, and collaborating with stakeholders.

The Business Strategist will align client strategies with data analysis solutions, managing projects and analytics to provide insights and recommendations for business growth.

Lead analytics initiatives to inform strategic decision making, providing actionable insights and recommendations using various data sources. Oversee projects, mentor analysts, and guide stakeholders.

Lead analytics and data science initiatives to drive measurable business outcomes across various functions, including Underwriting and Claims. Oversee the full analytics lifecycle, foster stakeholder engagement, and mentor junior team members.

Lead financial and analytics support for e-commerce and digital channels, perform test market and post-promo analyses to evaluate incrementality and profitability, develop product and promotion pipeline insights, partner with supply chain and cross-functional teams, and deliver ad hoc reporting and financial modeling to drive sales and profit growth.

Lead a small analytics team to deliver end-to-end interactions and events analytics: define data, pull and analyze datasets, build insights and recommendations, create and automate dashboards/reports, coach team members, partner with stakeholders, and drive continuous improvement to improve client interactions, retention, and operational performance.

Lead enterprise vision, strategy, and operating model for data and analytics engineering. Build and scale multi-layer engineering organizations, govern and modernize cloud-based data platforms, champion data products and AI capabilities, manage budgets and vendors, and partner with executive stakeholders to drive analytics adoption and transformation.

Lead CRM and personalization analytics for CRM campaigns, loyalty, and omnichannel experiences. Build and manage a small analytics team, measure and optimize campaigns, design A/B and multivariate tests, deliver customer lifecycle and segmentation insights, and partner with Data Engineering and Martech to ensure data quality and integration.

The Analytics Manager will lead analytics for the Payments and Identity lifecycle, manage a team of analysts, develop KPIs, and ensure data quality while collaborating with cross-functional teams.

Perform complex analytics and statistical modeling on large datasets to identify market trends and customer segments. Build data mining models, reports, and visualizations to inform product, marketing, finance, and investment decisions. Evaluate data quality, simulate business outcomes, identify risks and opportunities, and partner with business stakeholders to guide strategy.