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

As a Senior Associate in the Financial Crime Unit at PwC, you'll analyze complex datasets using SQL and Python, apply machine learning techniques, mentor junior team members, and build client relationships while enhancing your technical skills.

The role involves driving quantitative analysis of technology investments, developing cost-benefit frameworks, and reporting outcomes to leadership while influencing cross-functional partnerships.

As Senior Manager of Data Analysis, you will validate analytical tools, manage validation projects, assess quality and risks, and mentor junior staff.

Manage the Data Lake engineering team at Apex Fintech Solutions, driving technical initiatives, collaborating with stakeholders, and ensuring scalable data solutions. Responsibilities include team leadership, Agile facilitation, technical strategy, risk management, and establishing best practices in data engineering.

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.

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 Sr. Data Governance Analyst supports data governance activities, policy execution, quality monitoring, workflow management, and user enablement to ensure quality data management across the organization.

Lead data analysis programs, provide strategic recommendations, maintain customer relationships, mentor analysts, and optimize marketing strategies based on analytics.

The Data Solutions Specialist manages customer variable data for printed labeling, integrating it into software solutions, conducting software demos, and ensuring successful project implementation.