Top Data & Analytics Jobs in Dallas, TX

Leads pricing analytics initiatives, develops strategies for risk-based pricing, collaborates with leaders, prioritizes analytics projects, and enhances customer experience.

Lead analytics strategy and execution for the 7‑Eleven mobile app. Partner with Product, Engineering, Marketing, and Operations to define metrics, build dashboards, run experiments and models, quantify impact, ensure data integrity and instrumentation, and translate analysis into recommendations for senior leaders.

The e-Data Services Analyst provides technical support for eDiscovery, manages data acquisition, processes electronic materials, and assists legal teams using various industry tools and protocols.

The Master Data Manager will develop data strategies, manage workflows, enhance data quality, and lead data management teams to achieve business goals.

The Senior Data Engineer will design and maintain data pipelines, ensuring data reliability and consistent models, while collaborating with stakeholders to improve data practices.

Lead and administer enterprise BI platforms (Looker, QuickSight, Power BI); design architectures, automate admin tasks and CI/CD with Jenkins, Git and APIs; build ETL/data models (Kimball), integrate with databases (Snowflake, Oracle, DB2, SQL Server), implement SSO/security (AD, Azure AD, PingFederate, OAuth/SAML), monitor platform health, train users, provide on-call production support, and mentor the team.

The VP, Head of Policy & Data Operations manages data governance and operations for proxy voting policies, ensuring data integrity and operational excellence while collaborating across teams to optimize processes and manage risks.

The Credit Risk Analyst will produce reports and analytics for credit risk monitoring and evaluation, automate reporting processes, and support regulatory compliance.

Design, build, and maintain scalable semantic 360 data models and transformation pipelines. Implement cleansing, enrichment, business rules, KPIs, and scoring algorithms using SQL and Python/Scala. Employ AI coding assistants and modern AI engineering practices to accelerate development while ensuring traceability, data quality, performance, and alignment with product and analytics needs.

Support outbound Care Advocate operations by collecting, compiling, and validating CRM and contact-center data; building dashboards and recurring reports; analyzing performance and trends; delivering insights to leadership; maintaining reporting infrastructure, tracking tools, and documentation; and supporting ad hoc analyses and cross-functional data requests.