Top Entry Level Analytics Jobs

The Data Entry Specialist will manage data entry processes, ensuring accuracy and compliance with regulations. Responsibilities include filling out permit applications, entering data into systems, maintaining logs, troubleshooting issues, and assisting with administrative tasks while supporting data exception reviews and customer requirements.

The Entry Level Quality Assurance Analyst will assist in manual and automated testing, develop scripts for QA processes, and perform root-cause analysis. The role emphasizes collaboration and communication while working across various IT projects in different domains. Candidates are expected to have a Bachelor's or Master's degree from IT-related fields and basic knowledge of programming languages, particularly Java and Python.

Assist in configuring and delivering critical business functions for clients, documenting business requirements and processes, application configurations, and more in the supply chain optimization field.

Zilliz, a fast-growing startup, focuses on developing vector database technology for AI applications. They are appealing to candidates to join their mission of simplifying data management and democratizing AI. They encourage applicants to connect even when no specific positions are available.

The Business Analyst will play a crucial role in the design, development, testing, and integration of applications. Responsibilities include gathering requirements, authoring use cases, creating visual aids, testing, and ensuring user satisfaction. Collaboration with development teams, facilitation of Scrum meetings, and managing project timelines are essential tasks.

The Digital Marketing Associate, Data Analyst role involves optimizing marketing strategies by analyzing lead generation data, funnel performance, and customer behavior. Responsibilities include tracking campaign effectiveness, conducting A/B testing, and producing reports for decision-making to maximize ROI across digital channels.

The LTE Performance Analyst will evaluate and optimize LTE network performance by analyzing data, identifying improvement areas, and implementing solutions. Responsibilities include monitoring KPIs, conducting root cause analysis, collaborating with engineering teams, and developing performance dashboards.