Top Senior Data & Analytics Jobs in Dallas, TX

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.

Lead investigations into complex customer complaints and dealer escalations using advanced analytics and root cause methodologies. Mine and model data, build dashboards, identify trends and drivers, recommend corrective actions, and present insights to leadership while partnering cross-functionally to improve processes and ensure compliance.

Lead complaints analytics and reporting: build data infrastructure, design and publish dashboards, perform deep-dive analyses using SQL and advanced analytics (including NLP), present insights to senior leaders, support controls, governance, audits, and cross-functional stakeholder engagement.

Lead enterprise BI across multiple brands: develop dashboards and executive scorecards (preferably QuickSight), define and govern KPIs/OKRs, ensure a single source of truth, partner with business and tech teams, drive data governance and quality, and collaborate with analytics engineering on scalable data pipelines.

Lead client-facing BI for Manheim accounts: translate wholesale data into actionable insights, build and maintain Snowflake SQL queries and reporting pipelines, develop analytical frameworks and dashboards, present to executives, collaborate with Data Science and Engineering, drive BI infrastructure improvements, manage projects, and mentor junior analysts.

Support sales and CPG category management through multi-source data analysis (retailer POS, NielsenIQ/Circana). Produce insights, presentations, and recommendations for assortment, item performance, and store clustering. Collaborate with clients, Category Management, and Space Technology teams to drive action and deliver quality results.

Perform category analytics and insights to support sales and CPG category management using retailer POS and syndicated data (Circana/IRI/NielsenIQ). Drive assortment planning, store clustering, presentations, and recommendations; partner with clients, Space Technology, and CPG teams to influence action and ensure quality deliverables.

The VP of Credit & Business Intelligence will oversee credit policy and analytics for SMB financing, focusing on AI/ML model implementation, risk management, and team leadership in analytics strategy.

Support FR&G as a Data Integrity Senior Analyst by analyzing data quality exceptions, performing root cause analysis, defining requirements for data quality controls, calibrating thresholds, supporting regulatory and audit requests, and recommending process improvements to strengthen data governance and controls.

Lead deployment and administration of the electronic Quality Management System (eQMS), digitize quality workflows, and build analytics and BI solutions (Power BI) to monitor quality KPIs. Partner cross-functionally to implement automation, support UAT/validation/training, maintain data integrity and governance, and enable future predictive quality and AI-enabled decision support.