Top Data & Analytics Jobs in Dallas, TX

The Analyst will support underwriting, portfolio analysis, and business development initiatives in single-family rental investments, leveraging strong financial modeling skills and analytical capabilities.

The Senior Fraud Risk Analyst will analyze fraud patterns, develop detection strategies, and implement controls to protect the lending platform from fraud. Responsibilities include monitoring performance data, evaluating fraud tools, and collaborating with cross-functional teams.

The Lead Business Information Architect drives the development and governance of enterprise information architecture, ensuring alignment of business concepts, data definitions, and metadata across the organization to enhance analytics and regulatory compliance.

Design and implement data models and views for integrating legacy systems with ITBA, focusing on managing various data sources and deriving KPIs for scorecards.

The Specialist, Salesforce Reporting creates and maintains dashboards and reports within Salesforce to enhance operational insights for leasing and property management, ensuring data accuracy and collaborating with team stakeholders.

Support cloud product enablement initiatives, collaborating with product owners and cloud engineers to drive integration and adoption of cloud services, while ensuring alignment with business objectives and compliance with security standards.

The Data and Analytics Technical Lead will lead the development of technical data solutions, leveraging big data tools and cloud technology to analyze data and drive business strategies.

The Platform Engineer will maintain data reliability by configuring data pipelines, implementing data integrations, and providing operational support for data platforms. Responsibilities include monitoring data quality, designing workflows, and collaborating with engineering teams to enhance data reliability capabilities.

The Senior Analyst will support development strategies and analytics to accelerate brand growth, oversee franchise development, conduct market analysis, and create sales forecasts.

The Data Engineer will design, build, and deploy scalable data solutions, optimize data flows, and implement ETL processes, leveraging various cloud platforms and technologies.