Top Data & Analytics Jobs in Birmingham, AL

As a Fraud Intelligence Analyst, you will monitor fraud activities, analyze data to uncover trends, and collaborate with teams to strengthen fraud mitigation strategies.

As a Data Engineer, you will build and optimize data pipelines, manage ETL workflows, and ensure efficient data access and quality within the infrastructure.

The Web Scraping Specialist will extract data from websites, optimize scraping processes, and manage data integrity, ensuring high-quality outputs.

Analyze large-scale data to detect fraud, derive insights, develop monitoring solutions, and collaborate on fraud prevention strategies cross-functionally.

The role involves reviewing and correcting emergency call transcripts in Spanish and proofreading English translations, requiring attention to detail and quality focus.

Lead and expand Data Acquisition teams, building and maintaining data pipelines and services for healthcare while collaborating with product management and engineering teams.

The Business Analyst will gather and document requirements, facilitate communication between stakeholders, and support the development of a clinical decision support platform while ensuring user satisfaction through testing and validation.

Manage web analytics strategy and implementation at Twilio, ensuring data integrity and delivering actionable insights through collaboration with cross-functional teams.

As a Senior Data Scientist, you will develop statistical models and machine learning algorithms to improve patient enrollment and trial management while ensuring compliance in a healthcare data environment.

The Senior Data Analyst will analyze user behavior and product performance, generate insights, and communicate findings effectively to drive decision-making and improvements at OneStudyTeam.

The Revenue Operations Analyst will analyze data, build dashboards, and support decision-making in Sales and Marketing, focusing on optimizing growth strategies.

Lead data acquisition and management strategies for AI models, analyze data systems, oversee partnerships, and guide a team in optimized data usage.