Top Remote Analytics Jobs in Chicago, IL

The Data Analytics Engineer will support reporting and analytics by exploring data, ensuring quality models, collaborating with teams, and maintaining the data warehouse. Responsibilities include developing documentation and enhancing business outcomes through data-driven insights.

As a Senior Analytics Engineer at Forward Financing, you'll design and maintain data models, collaborate with various teams to enhance analytics platforms, ensure data quality, and integrate third-party data sources to support business decisions.

As a Staff Data Engineer at Ivans, you will design and implement scalable data pipelines using cloud-native technologies, optimize data infrastructure, support BI product development, and collaborate with stakeholders to ensure successful project outcomes. Additionally, you will implement data governance tools and automate data workflows for reliable operations.

As an Analytics Engineer, you will create and manage reliable datasets, establish new data sources, improve the data platform's performance, and collaborate with team members to support inclusive engineering practices. You'll also contribute to technical discussions and promote a positive team culture.

As a Revenue Operations Analyst II, you will enhance merchant lifecycle processes through automation, manage cross-functional initiatives, and develop scalable reporting solutions. You will also collaborate with various teams to improve Salesforce features and support growing revenue teams with training and resources.

The Senior Analyst on Strive’s Performance Team will collaborate with various teams to track performance against organizational priorities. Responsibilities include conducting analyses, delivering customer-facing reports, and preparing presentations for executives. A focus on monitoring performance metrics and identifying improvement opportunities is essential.

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.