Top Data & Analytics Jobs in Dallas, TX

Provides analytical and operational support for remarketing activities, including data mining, portfolio performance analysis, reporting, forecasting, data validation, visualization, and management presentations. Oversees implementation of policies and solutions, monitors performance trends, and collaborates with Risk, IT, and other departments on initiatives. Requires advanced spreadsheet skills, data transformation experience, quantitative ability, and coordination of multiple projects.

Analyze onsite search behavior to identify gaps and opportunities, audit product data quality, recommend ranking and query improvements, build synonym libraries, monitor search KPIs, and partner across engineering, product, and marketing to improve relevance and conversion.

Leads software and analytics engineering teams responsible for enterprise reporting, dashboards, and insights. Develops BI and cloud modernization strategies, establishes analytics architecture and governance, improves automation, observability, reliability, and visualization standards, and manages reporting delivery alongside transformation initiatives. Recruits and develops talent, partners with business leaders, and drives scalable, secure, and innovative intelligence platforms across the organization.

Design, develop, and maintain enterprise data solutions and pipelines using Azure data platform and Microsoft Fabric. Support data modeling, master data management, medallion architecture, data quality, and integrations to produce trusted, scalable data for analytics and BI.

The VP of Data Science & Strategy will transform complex business challenges into actionable growth strategies, leveraging data to influence decisions and drive company strategy.

The Sr BI Developer/Architect will support and administer database systems, develop dashboards and reports, and enhance BI tools like OBIEE and Tableau.

The Sr Oracle Application Developer is responsible for designing and developing technical solutions using Oracle technologies, leading teams, and ensuring project deliverables. This role requires hands-on technical expertise in Oracle applications and systems analysis, guiding other developers, and liaising with external vendors.

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

The role involves designing and implementing data quality processes, creating mappings and workflows in Informatica, and collaborating with business and technical teams to enhance data quality across the enterprise.

Lead design and delivery of secure, scalable cloud and on‑prem data architectures. Drive adoption of cloud services, streaming, NoSQL, and modern data warehouses; mentor teams, improve data quality/integration, and align architecture with business needs.