Top Data & Analytics Jobs in Dallas, TX

Lead end-to-end actuarial predictive modeling for pricing segmentation and lifetime value. Design, develop, implement, govern, and monitor loss-cost, acquisition, retention, and conversion models. Partner with Actuarial, Product, Underwriting, and IT; ensure regulatory compliance, mentor team members, and deliver high-quality, timely pricing solutions.

Senior e-commerce business analyst who gathers and analyzes user requirements, produces system and process documentation, liaises between business and development teams, tests and monitors new functionality, and supports UI/application module management.

The Data Management Lead documents data flows, validates datasets, analyzes data, diagnoses issues, and maintains governance documentation, focusing on data quality and analytics support.

Collect, convert, and analyze geospatial data; create maps and visualizations; maintain spatial databases and metadata; support GIS data management, quality control, and workflow improvements while collaborating with project teams and receiving mentorship from senior GIS staff.

Consultant will produce requirement specifications and design details, develop Hadoop-based ETL solutions (HDFS, Hive, Pig, Sqoop), work with Teradata and BI/analytics tools, perform automation and performance tuning, coordinate projects, and support a management-consulting environment with regular travel.

Analyze profitability and financial performance, build and maintain reports and dashboards, partner with finance and business stakeholders to deliver insights, develop data models and metrics to support decision-making, and ensure reporting accuracy and consistency.

Lead and own data quality activities including analysis, remediation, and program implementation. Resolve complex data issues, manage processes and reports, supervise junior staff, present status to stakeholders, and ensure compliance with policies and controls in banking data domains.

The role involves analyzing complex datasets for private equity transactions, providing insights for due diligence and performance, using various analytics tools and programming languages, and ensuring strategic decisions are informed.

Design and govern enterprise lakehouse and cloud data platforms (Azure, Fabric). Lead post‑merger data integration, MDM, governance, BI platform administration, DB2/SQL Server modernization, observability, and CI/CD/DevOps for scalable, compliant data operations.

Lead enterprise data architecture and governance across Microsoft Fabric, Azure, EDW and analytics. Define integration patterns, data modeling, lineage, security, DR/continuity and vendor standards. Guide engineering teams on implementation, performance tuning, cost optimization, testing, and responsible AI/GenAI integration. Ensure solutions meet regulatory, audit, and operational requirements while collaborating with business and IT stakeholders to translate needs into long-term platform roadmaps.