Top Analytics Jobs in Detroit, MI

As the Senior Data Analyst for the Customer Experience Platform, you will collaborate with product, engineering, and operational teams to analyze customer behavior, develop data models, and build dashboards. You will utilize SQL to create datasets for reporting needs and proactively identify analytics opportunities to support product development and enhancements.

Design and develop models, optimization algorithms, and scalable processes for marketing measurement and audience activation. Utilize big data analytical tools for data extraction. Develop machine learning algorithms for online and offline identity resolution. Work with statistical, data mining, and machine learning techniques to extract actionable information from data.

The Data Analyst will support Public Safety Answering Points by analyzing emergency call data, tracking KPIs, developing reports, and providing actionable insights to optimize operations and enhance performance.

The Business Systems Analyst Sr analyzes business requirements and production specifications, formulates system scope, leads business process improvement projects, and provides recommendations for business issues, fostering customer-focused solutions.

The Deal Desk Analyst at Pluralsight will actively collaborate with sales teams to support the approval process for non-standard deals, improve workflow efficiency, and ensure compliance with corporate strategies. This role involves analyzing contract terms and enhancing business practices for deal closure while serving as a trusted advisor to the sales team.

The Data Analyst II will analyze large datasets to identify trends and insights that inform business decisions, develop reports and dashboards, ensure data quality, and collaborate with cross-functional teams to deliver data-driven solutions. Stay updated with data analysis best practices.

The Claims Data Analysis and Reporting Manager will drive data analytics, create reports, and visualize data to support the Claims business team. This role involves collaborating with data engineering to establish data infrastructure, performing predictive analytics, and optimizing claims processes through insightful analysis and modeling.