Top Remote Analysis Reporting Jobs in Huntsville, AL

The Senior Quantitative Analyst will analyze marketing performance to drive business strategies, provide insights on campaign metrics, and collaborate with various teams for decision-making processes.

The Senior Data Engineer will design, build, and maintain scalable data pipelines, ensuring data quality and operational reliability while collaborating with cross-functional teams.

The People Analytics Analyst designs and manages analytics products, oversees reporting, drives user enablement, and ensures data governance and integration.

The Senior People Analytics Consultant delivers insights from complex data to guide people strategies and influence decisions within the organization.

The Associate Director leads a data management team, ensures quality deliverables for clinical trials, manages vendor relationships, and implements process improvements across data management activities.

Lead the Payments Insights Analytics team, utilizing data and AI/ML for strategy execution, operational excellence, and stakeholder communication.

The Data Architect will design and manage data frameworks, ensuring data integrity and integrating new technologies while overseeing data modeling and ETL pipeline development.

The Data Engineer II is responsible for designing, developing, and implementing solutions for data governance, managing metadata and data quality, and collaborating with stakeholders to assess data-related issues and improve processes.

Lead analytical projects, develop quantitative models, analyze datasets for insights, and translate findings into business recommendations, primarily supporting client decision-making.

The Data Integration Engineer will design and implement data integration solutions for cloud platforms, ensuring data models support analytics and AI initiatives, while collaborating with various teams to maintain data governance and product standards.

The Business Intelligence Data Analyst II supports reporting, dashboards, and data-driven insights, working closely with Business Intelligence and Data Engineering teams. Responsibilities include optimizing data structures, leading data modeling, collaborating on requirements, and monitoring data feeds.