Top Remote Entry Level Data & Analytics Jobs in Madison, WI

The EDI Implementation Analyst II will manage technical system installations, assist clients in accessing services, map data, create documentation, and train users. They will also troubleshoot functionality, document issues, and provide feedback for product improvement, working collaboratively with clients and internal teams.

The Research Associate role at a new AI startup involves data collection, QA, data analysis, and improving AI interactions with humans. This position offers opportunities for career advancement and learning new software skills on the job.

Design and build data models, BI dashboards, and applications to solve business problems. Collaborate with a team to understand data and business needs. Support program management and troubleshoot issues. Recommend technical developments and optimize solutions. Continuous learning and development in BI tools, cloud platforms, databases, and version control systems.

The SAP Analytics Cloud Consultant will design and develop planning and analytic solutions for governmental clients. Responsibilities include analyzing needs, managing projects, and deploying web-based solutions, as well as mentoring and collaborating within the consulting team. The role requires strong organizational and communication skills and an understanding of managerial accounting.

The Support Analyst provides front-line Level 1 support to internal and external users, managing help requests, documenting issues, and ensuring timely responses per established SLAs. They work with the Support Desk Team to enhance customer experience and operational efficiency.

As a Data Scientist at CoLab, you will design and deploy machine learning models, optimize features with large datasets, conduct A/B testing, and communicate insights through visualizations. Collaboration with engineering teams for model deployment and maintenance is key, along with ensuring data governance and infrastructure optimization.

As a Quantum Solutions Physicist at PsiQuantum, you will utilize theoretical and computational physics and materials science to enhance quantum algorithms and fault-tolerant quantum computing for industrial applications. Responsibilities include conducting research, collaborating with experts, developing computational workflows, and contributing to innovations in materials design and modeling.