Top Entry Level Data & Analytics Jobs in Washington DC,

The A/R Analyst at Abbott is responsible for managing accounts receivable including collections, invoicing, cash application, and dispute resolution. The role involves communicating with customers, resolving payment discrepancies, monitoring receivables, and providing audit support while continuously improving AR processes.

The Business Analyst at Fearless will provide technical and tactical support to teams, ensuring high-quality customer delivery. Responsibilities include collaborating with stakeholders, executing user stories, performing acceptance testing, creating training materials, facilitating meetings, analyzing processes, supporting operational rollout, and identifying business opportunities.

The Reinsurance Analyst will support the reinsurance placement process through data analysis, research, and documentation. Responsibilities include learning reinsurance agreements, assisting with client services, and developing accounting and claims administration skills. The role involves collaboration with various teams and stakeholders, ensuring compliance with best practices, and participating in a comprehensive training program to gain industry knowledge.

The Risk Analyst Program Manager will support the development and oversight of the Risk Management Program, conducting risk assessments, ensuring policy compliance, and facilitating risk reporting. The role involves complex analysis of risks and contributing to the development of risk management procedures.

This is a speculative job application for candidates who want to work at Hugging Face. The company emphasizes diversity, well-being, and continuous development, and encourages applicants to brainstorm their potential roles based on personal strengths and interests.

The Analytics and Reporting Engineer at Five9 is tasked with gathering customer requirements and developing custom reports utilizing Five9's Analytics products. Responsibilities include ensuring timely project delivery, collaborating with team members and clients, helping the Professional Services Team, and mastering necessary software tools to provide customer support.

As a Data Scientist at Zelus Analytics, you will perform data modeling and quantitative analysis, develop and validate statistical models, collaborate with engineering for model implementation, and support research projects aimed at enhancing player and team performance.