Top Remote Analysis Reporting Jobs in Detroit, MI

The SI Business Analyst will drive integration between business needs and technical delivery, focusing on insurance and healthcare systems. Responsibilities include capturing requirements, performing gap analysis, designing workflows, and leading cross-functional teams to optimize system performance and support digital transformation initiatives.

The Senior Analyst will support the personalization algorithm by conducting analyses, testing features, managing projects, and collaborating with teams to improve food recommendations for customers.

The Data Engineer will develop and implement ETL processes, design data architectures, work with data platforms, and ensure data solutions meet scalability and security needs. Responsibilities include mentoring junior engineers and collaborating with stakeholders to gather requirements and optimize data transformations.

The role involves architecting and improving data systems, defining governance standards, optimizing performance, and mentoring engineers in data engineering.

The Data Engineer will develop data pipelines, support data automation, collaborate with Agile teams, and ensure data reliability and performance. The role requires strong ETL skills and experience with relational databases, big data analysis, and CI/CD practices.

Lead design, operation, and reliability of production data pipelines in a multi-terabyte Snowflake environment. Translate client requirements into dimensional models, debug and remediate pipeline failures, evolve the data mart for event-driven and AI workflows, and improve pipeline trustworthiness via testing, CI/CD, audit logging, and documentation.

Work on data visualization and data management within the Data Analytics & Insights team. Build interactive displays and tools using JavaScript and Python, translate complex data into clear visuals, ensure data accuracy, support data storage solutions and processes, perform quality checks, and collaborate with cross-functional teams and environmental scientists.

The Senior Data Analyst will lead the design and implementation of machine learning models, analyze large datasets for business insights, and mentor junior team members, while collaborating with cross-functional teams.

Lead and oversee clinical data management across therapeutic areas, supervise and mentor data managers, ensure database design, validation, and archival meet SOPs and regulations, coordinate with clinical teams and CROs, and drive data quality, outsourcing strategy, and documentation.

Manage performance, reliability, and accountability for high-volume messaging programs. Build dashboards and alerting, run ad hoc analyses, coordinate incident response and vendor testing, conduct post-incident reviews, and maintain documentation and compliance tracking to inform program decisions and improvements.