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

The Senior Platform Engineer will support Workday functional configurations, improve processes, and provide troubleshooting and documentation for HR technology solutions.

In this role, you will leverage your analytical skills to drive strategy, develop and mentor junior analysts, manage data analysis projects, and improve operational efficiencies.

The Senior Manager, Data Analysis will lead cross-functional partnerships to validate analytical tools, manage projects, coach team members, and assure data quality and risk assessments while developing innovative solutions and communicating findings effectively.

The role involves analyzing information from various sources, collaborating with teams, performing requirement analysis, and supporting agile activities to deliver solutions that meet stakeholder needs.

Design, build, and maintain cloud-based data pipelines, ETL, and data warehouse solutions (Snowflake, Teradata). Collaborate in agile squads to ingest, curate, and provision data for analytics and ML, implement CI/CD and automated testing, troubleshoot issues, and improve data quality and performance.

The Data Strategy Intern will support data analysis, project management, and process optimization, collaborating cross-functionally to improve workflows.

Support asset managers with analysis, financial modeling, market data management, valuations, and coordination with external parties in real estate investments.

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

Lead deep-dive analyses into account takeover and fraud, design and implement real-time defenses, collaborate with product/engineering/data science, run incident response, and deliver actionable insights to protect users while preserving UX and core metrics.

Lead detection, investigation, and mitigation of payments fraud across cards and mobile. Build and own risk controls, metrics, reporting, and cross-functional analytics projects using SQL and BI tools to scale monitoring and partner with product, data science, and engineering.

Design, develop, and maintain forecasting and optimization models for contact forecasting, headcount planning, staffing and budget. Partner cross-functionally to produce data-driven recommendations, present to leadership, and mentor forecasting analysts.

Support default management by analyzing mortgage performance, designing operational strategies, and collaborating with cross-functional teams to enhance risk management.

The Business Intelligence Lead will build and refine measurement systems, translating business objectives into metrics, ensuring data accuracy, and providing insights for strategic decision-making.