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

As a Teaching Assistant for Data Analytics, you will manage and support training programs by attending live lectures, conducting office hours, grading assignments, and collaborating with fellow instructors to enhance the learner experience. You will work in a virtual environment and be available to assist diverse learners in developing their data analytics skills.

As a Workforce Management Analyst II at Wisetack, you will manage scheduling and efficiency for Customer Support and Loan Servicing teams. Responsibilities include monitoring agent performance, capacity planning, developing schedules, and analyzing key metrics to drive operational improvements.

The Analyst – Epic Application Management is responsible for EHR application design, configuration, testing and support. They monitor issues, fulfill client requests, troubleshoot problems, and improve workflows while managing multiple clients and projects. Strong communication skills and proficiency in Microsoft Office are essential.

The Data Analyst at Shift5 will conduct full lifecycle data analysis, identify trends and anomalies in large datasets, create reports and dashboards, and collaborate with various teams to derive insights that drive business decisions. They will also work with operational data for predictive analysis and metrics creation.

The Sales Data Analyst is responsible for collecting, analyzing, and interpreting sales data. This role focuses on ensuring data accuracy, creating visualizations, and translating complex data into actionable insights. The analyst will collaborate with Sales leadership and cross-functional teams to identify trends and support decision-making.

The DeFi Research & Growth Analyst will conduct in-depth research on decentralized finance protocols, assess risks, engage with protocol teams, and collaborate with cross-functional teams for product development. The role requires strong knowledge of DeFi, portfolio management, and effective communication skills.

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.