Top Entry Level Data & Analytics Jobs in Pittsburgh, PA

The Actuarial Analyst 2 analyzes and forecasts financial and economic data to assist in strategic decision making. Responsibilities include optimizing financial models, evaluating program performance, collaborating on model results, and ensuring data integrity through effective processes and controls.

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.

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.

The Data Annotation Specialist will review and label video data to support machine learning projects, maintain organized records, and ensure data quality standards. This part-time role offers flexible hours while contributing to improving products for dog owners.

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.

The Data Strategy & Operations Manager will develop the data operations program, implement data quality strategies, manage data flow and accuracy in CRM systems, and analyze data for executive leadership. This role requires collaboration with various teams to enhance data processes and ensure high data integrity.