Top Remote Entry Level Analytics Jobs in Charlotte, NC

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 Catastrophe Analyst role at CNA involves analyzing catastrophe impacts, creating portfolio models using catastrophe models, providing insights from data analysis, developing catastrophe strategies, and building reporting dashboards. The position also requires collaboration with various teams and presenting findings to senior management.

Seeking Data Analysts to join the growing Data team at Headway. Responsible for analytics and insights needs across the organization, working with partner teams to collect, visualize, and interpret data for better decision-making. Building partnerships between the Data team and the organization through data analysis and creating tools for business stakeholders. Ideal candidates are self-starters, comfortable with ambiguity, excited about building a data-driven culture, and motivated by making an impact.

As a Sports Statistician, you'll attend sporting events, reporting live action through data collection software while ensuring accurate game statistics. Training will be provided for effective technology use. The role requires reliability, organization, and availability during weekends and evenings, along with a good understanding of sports rules.

The Intelligence Analyst will provide open source cyber intelligence, assess threats, produce intelligence reports, and collaborate with team members to identify solutions for serious threats. Requires strong analytical, presentation, and problem-solving skills.

Quality assurance analysts perform testing and documentation of software applications. They test software after development to ensure it meets user requirements, recommend improvements, and document the testing process. They may also create training materials and instruct users on software use.

The Data Annotator will label and curate data for training AI models, focusing on multimodal data (text and images), generating educational content, and performing quality assurance on annotations. The role is flexible and allows for task-based work to impact AI developments.