Top Remote Data & Analytics Jobs in Ann Arbor, MI

Own forecasting and capacity planning for contact center and pharmacy operations. Build short- and long-term forecasts, translate them into staffing plans, analyze trends and variances, develop dashboards, support scenario modeling, and partner with Operations, Finance, HR, and Engineering to align hiring and optimize systems.

Serve as a subject matter expert for data requests and system updates: design database structures, build and maintain data pipelines, write and optimize SQL, clean and transform data with SQL and Python, create dashboards and visualizations, analyze large datasets, and automate processes to improve data quality and workflows.

As a Data Analyst, you will build dbt models in Redshift, maintain data pipelines, and provide insights to enhance customer decisions while collaborating with internal teams.

As a GTM Engineer, you will improve the efficiency of Marketing and SDR teams through automation, AI, and workflow design. You will partner with various teams and take ownership of the solution lifecycle from discovery to delivery.

The Insights Associate conducts data analysis to deliver actionable insights for prospective clients, collaborating with Sales and Marketing teams to address their business needs.

The role involves acting as a subject matter expert in Data and AI, providing technical expertise during sales processes for Azure-based solutions, and mentoring team members to enhance client experiences.

The Workforce Management Analyst supports staffing and scheduling decisions, optimizing workforce performance through data analysis and collaboration across teams.

The Senior Data Analyst delivers metrics and dashboards, collaborates with stakeholders, documents processes, and assists in defining requirements and special projects.

The Business Analyst will gather requirements from clients, support project lifecycles, conduct demos, and manage change, while utilizing ServiceNow. Responsibilities include documentation and relationship building.

As a Senior Analytics Engineer, you'll build data pipelines and dashboards, partner with stakeholders for KPI development, and ensure data quality across the company.