Top Remote Entry Level Data & Analytics Jobs in Lincoln, NE

As a Data Engineer at Archive, you will build data pipelines, develop AI use cases, architect data infrastructure, and improve reporting practices. You will work with large datasets and collaborate with various teams to solve complex problems and enhance product metrics.

As a Python Data Engineer, you'll build and maintain data ingestion and streaming infrastructure, evolve web crawling systems, and create ETL pipelines connecting to APIs and datasets while collaborating with global engineering teams.

This position involves supporting students in data analytics boot camps through various roles such as Teaching Assistants, Tutors, Learning Assistants, and Graders. Responsibilities include facilitating lessons, providing one-on-one support, engaging with students on structured schedules, and offering detailed feedback on assignments.

The Growth Analyst will support Go-to-Market functions including Marketing, Sales, Business Development, and Customer Success. Responsibilities include partnering with leadership and customers to drive growth initiatives and deliver a superior customer experience in a fast-paced environment.

As a Consultant in Data and Analytics, you will create and implement processes and tools to help clients leverage data effectively. Responsibilities include translating data into actionable insights, managing client projects, and collaborating with stakeholders to drive business transformation using analytics tools.

The System Analyst I will provide exceptional customer service, handling technical issues related to the Darwin product. Responsibilities include managing customer inquiries via phone and CRM, documenting interactions, and collaborating with internal teams. The role also involves applying analytical skills to solve complex challenges and assist customers effectively with empathy and critical thinking.

The Data Engineer will design and build data products including data lakes and repositories, participating in all stages of data pipeline development and working closely with cross-departmental stakeholders.