Top Data & Analytics Jobs in Dallas, TX

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.

Provide data-driven insights and executive-level financial and market analysis to inform strategy. Prepare quarterly and annual presentations, lead analysis workstreams, collaborate with stakeholders and product teams, generate actionable business/process improvements, support reporting and revenue analysis, and drive major projects to improve operational efficiency.

The Lead Data Analyst analyzes audience behavior and content performance on streaming platforms, providing insights to drive product strategy and business decisions through data analysis and reporting.

Lead a BI team to design, develop, and maintain enterprise dashboards, KPIs, and reports. Collaborate with stakeholders, ensure data governance and quality, integrate BI with cloud data warehouses and ETL pipelines, and support ERP migration to cloud. Drive BI strategy, documentation, training, and continuous improvement to enable data-driven decisions across the company.

The Analytics Specialist will conduct SQL querying, data cleaning, and validation, build dashboards and automated reports, and support data-driven operations.

The Enterprise Data Lead oversees data governance, quality, and processes, driving behavioral change across brands and ensuring accurate data representation for commercial and operational needs.

Lead product analytics for security products by designing and analyzing experiments, conducting user journey and cohort analyses, defining metrics and KPIs, improving telemetry and data models, delivering insights to inform product roadmaps, mentoring analysts, and communicating findings through dashboards and presentations.

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.

As a Data Engineer, you'll deliver scalable data solutions, participate in technical discussions, and ensure timely, trustworthy data delivery through robust pipelines.