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

As a Data Analyst, you will innovate data solutions, conduct business intelligence analysis, and manage data quality while collaborating with tech teams.

The role involves assessing credit risks, conducting financial analyses, developing data analytics solutions, and collaborating with teams for reporting and methodology enhancement.

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.

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 Principal Technical Product Analyst will strategize and enhance observability and AIOps capabilities, promote insights into operational efficiency, and lead cross-functional collaboration while ensuring standards and frameworks are established.

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.

As a Senior Analytics Engineer, you will manage analytics infrastructure, design data models, build dashboards, and integrate AI/ML into analytics processes to aid decision-making in food and beverage supply chains.

As a Data Architect, lead teams in modern data architecture and engineering, develop data pipelines, mentor juniors, and engage in client communication to enhance business solutions.