Top Remote Analysis Reporting Jobs in Detroit, MI

The Scientist in Field Applications will provide both onsite and remote assistance in NGS library preparation, conduct customer training, and resolve technical inquiries related to genomic applications. This role requires collaboration with the customer success and sales teams to ensure customer satisfaction and support.

The Sr. Credit Risk Analyst will develop credit strategies using advanced analytics and machine learning to optimize risk decisions for Prosper’s Personal Loans and Credit Cards. The role involves collaborating with various teams, conducting A/B tests, developing loss forecasting, and communicating insights to management.

The Lead Data Analyst/Scientist will analyze large datasets, create visualizations and reports, develop predictive models, and derive actionable insights to enhance operations for senior living communities. The role involves collaborating with teams to understand data needs and staying updated on data science advancements.

The Capital Management Analyst role at TruStage involves analyzing business performance and providing financial insights, developing forecasts, and communicating findings effectively. Responsibilities include maintaining capital models, leading forecasting, preparing annual filings, analyzing financial reports, and collaborating with clients at various levels.

As an Analyst in the Holt Group, you will conduct financial, market, legal, and product research, and craft quantitative analyses, presentations, and reports. You will learn financial modeling while working collaboratively in a part remote, part in-office environment focused on litigation consulting.

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.

As a Data Engineer, you will design, build, and maintain data pipelines and integration processes while collaborating with data scientists and analysts to ensure efficient data flow across the organization.