Top Data & Analytics Jobs in Dallas, TX

As a Systems Support Analyst, you will manage user onboarding, access governance, perform data analysis, and develop KPI reports while supporting service organization needs.

The role involves overseeing credit review processes, leading AI transformations, and collaborating cross-functionally to optimize operations and implement strategic initiatives in credit risk analytics.

Responsible for designing and optimizing data warehouses and ETL architecture, analyzing BI data, capturing requirements, and providing technical guidance and support.

The Director, Quantitative Risk Management leads model development for financial products, oversees new product analysis, and ensures model compliance and performance monitoring while managing a team of engineers.

Lead the design and implementation of scalable data platforms on Google Cloud, focusing on ingestion, transformation, and providing robust data capabilities for analytics and AI. Collaborate with teams to enhance the data ecosystem, enforce governance, and optimize workloads.

As an RFM AI Governance Manager at PwC, you will lead teams in developing AI governance frameworks, conduct risk assessments, and mentor junior staff, ensuring compliance with regulations and firm policies.

The OnBase Business Analyst engages with teams to support the OnBase application, manage document workflows, analyze requirements, and implement solutions.

The Data Engineer will design and manage scalable data solutions, focusing on ETL pipelines, data quality, and integration for reliable analytics. They will collaborate with stakeholders to ensure data accuracy and compliance while resolving data issues and optimizing performance.

The Senior Data Engineer will architect and implement data pipelines, manage their performance, and partner with stakeholders to ensure data accessibility and quality. Responsibilities include assessing data sourcing needs and providing visibility into pipeline status.

The role involves facilitating workshops, supporting testing, data validation, and troubleshooting MDG MM issues while ensuring data quality across business processes.