Top Remote Entry Level Data & Analytics Jobs in Detroit, MI

As a Data Visualization Consultant, you will design and develop analytics applications in BI platforms like Tableau and PowerBI, creating effective visualizations to meet healthcare clients' needs. Responsibilities include understanding client requirements, designing mockups, coaching organizations on best practices, and troubleshooting visualization issues.

This role involves developing and maintaining performance measures for physicians based on claims data. Responsibilities include conducting literature reviews, validating metrics, and collaborating with interdisciplinary teams to enhance healthcare quality while reducing costs. The position calls for strong communication skills and an aptitude for working in a dynamic startup environment.

The Business Analyst will work within Arcadia’s Product Management team to drive innovation by analyzing data and providing insights that shape product development. Responsibilities include collaborating with various teams, refining product requirements, delivering key performance insights, and leading cross-functional projects that contribute to healthcare solutions.

Seeking Data Analysts to join the growing Data team at Headway. Responsible for analytics and insights needs across the organization, working with partner teams to collect, visualize, and interpret data for better decision-making. Building partnerships between the Data team and the organization through data analysis and creating tools for business stakeholders. Ideal candidates are self-starters, comfortable with ambiguity, excited about building a data-driven culture, and motivated by making an impact.

As a Sports Statistician, you'll attend sporting events, reporting live action through data collection software while ensuring accurate game statistics. Training will be provided for effective technology use. The role requires reliability, organization, and availability during weekends and evenings, along with a good understanding of sports rules.

The role involves labeling data, writing code, and providing feedback to enhance AI model performance. Responsibilities include annotating datasets, evaluating code, contributing to model training, and collaborating with AI professionals and data scientists.

The Credit Analytics Manager will develop and optimize the cash advance product, implement risk models, collaborate with finance on credit policies, and work with product teams to launch features. This role requires a passion for leveraging data to fuel growth and improve customer well-being, while leading various credit and product testing initiatives.