Top Senior Data & Analytics Jobs in Dallas, TX

Drive technology risk reporting and analytics for ERM: analyze risk datasets, build Power BI dashboards, integrate IT/IS/third-party data, assess controls using industry frameworks (COBIT, NIST, ITIL, DCAM, DMBOK), support RCSA, and advise business units on risk mitigation and control improvement.

Manage IT teams in the design, development, testing, and implementation of applications, ensuring data integrity and project success while overseeing budgets and team performance.

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.

Design and implement scalable data pipelines, support data ingestion and quality, collaborate on data models, and maintain data exports, contributing to technology improvements.

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.