Top Hybrid Data & Analytics Jobs in Dallas-Fort Worth, TX

As a Principal Data Analyst, you'll innovate, build and maintain data solutions using scripting languages and cloud services to tackle business problems, providing insights and managing data quality.

The Senior Data Analyst will innovate data solutions, collaborate with business teams for insights, and manage data quality and governance principles.

The Solutions Engineer will lead data migration to Guidewire PolicyCenter, manage ETL workflows, and ensure data quality and compliance throughout the migration process.

The Senior Fraud Compliance Analyst will investigate fraud, analyze transactions for legitimacy, manage escalations, and collaborate with law enforcement while enhancing fraud detection strategies.

Designs data models, creates reusable schemas, maintains data dictionaries, and translates business requirements into technical specifications to enhance data governance.

The Senior Associate, Business Systems Analysis will analyze information, engage with stakeholders, perform requirements analysis, and support agile processes, driving business needs and solutions.

The Senior Analyst, Fraud Investigations will identify and analyze fraud patterns, conduct investigations, and develop strategies to mitigate losses. They will leverage SQL and Snowflake to work with complex datasets and collaborate with multiple teams to enhance fraud detection frameworks.

Lead the design and implementation of innovative data models for finance and actuarial use cases, mentoring team members and fostering client interactions.

Lead the data strategy and oversee project execution for data management, integration, and governance while collaborating with stakeholders and cross-functional teams.

The Sr. Associate will provide valuation support, manage valuation models, and produce property performance reports for portfolio companies and Blackstone.

Monitor and analyze the performance and reliability of deployed Generative AI systems. Collaborate cross-functionally to improve GenAI services, track KPIs, and drive operational improvements.