Top Remote Data & Analytics Jobs in Albuquerque, NM

As a SOC Analyst, you will monitor security events, perform threat analysis, and respond to incidents. Responsibilities include developing response procedures, providing guidance to the security team, and staying updated on security threats. You will work independently with customers and troubleshoot basic issues.

The Senior Scientist will develop quantum chemistry algorithms, collaborating with cross-functional teams to create optimized quantum workflows and address real-world problems using IonQ's quantum computers, while building reusable software platforms.

As a Business Systems Analyst Consultant, you will gather requirements, analyze and optimize processes, collaborate across functions, and support user acceptance testing to enhance digital account functionality. Your role includes defining business needs, evaluating applications, and providing consulting for process improvements.

As a Senior Data Scientist II, you will analyze healthcare data, create insights, and develop data products. You will collaborate with product and engineering teams to define models for healthcare challenges and contribute to AI and NLP projects while ensuring data processes are executable in production.

As a Big Data DevOps Lead, you will improve efficiency in Big Data infrastructure, coordinate initiatives across teams, lead architecture design efforts, ensure system reliability, and support operational tools while also providing on-call support.

The Data Scientist will analyze and interpret complex supply chain data, develop predictive models, and collaborate with teams to optimize supply chains and drive business growth. Responsibilities include processing large datasets, applying statistical models and machine learning algorithms, and communicating data insights to stakeholders.

The Merchant Payment Processing Analyst will ensure efficient merchant payment processing by monitoring systems, analyzing payment data, resolving issues, and optimizing processing systems while collaborating with technical teams. In-depth analysis of network costs and payment fees is required, with the use of SQL and Python for data analysis and reporting.