Top Remote Data & Analytics Jobs in Des Moines, IA

The Pricing Advisor will help multifamily customers maximize revenue and optimize occupancy using revenue management software by providing strategic recommendations based on market data analysis.

As a Senior Data Scientist, you will drive product analytics and experimentation, develop metrics, and collaborate with cross-functional teams to inform strategic decisions.

The Marketing Data Scientist will analyze data, onboard clients, develop data pipelines in R, and propose improvements to enhance efficiency.

The Quality Analyst drives data-informed decision-making for solar projects by analyzing KPI data, implementing best practices, and ensuring compliance.

The Business Intelligence Analyst II role focuses on analyzing data, providing intelligence to business decision-makers, creating reports and dashboards, and ensuring data quality across departments. This position requires advanced analytics skills and expertise in data visualization tools.

The Business Analyst will document user stories, collaborate with product owners, lead scrum sessions, perform system analysis, and support implementation efforts. They will provide training and update process documentation.

The Data Specialist focuses on data quality and governance, supporting workflows across the Revenue Operations organization and collaborating with Marketing Operations. Responsibilities include managing data integrity, creating internal policies, maintaining dashboards, and supporting cross-functional initiatives.

Lead the design and architecture of production-grade data systems for reporting, focusing on data quality, performance, and engineering standards while mentoring team members.

As the GTM Engineer, you'll build Mento's revenue systems, automate workflows, clean data, and collaborate with sales and marketing teams to drive revenue growth.

As a Senior Syndicated Data Analyst, you'll be responsible for data production, analysis, maintaining databases, and generating client reports. You'll handle multiple projects while addressing quality and efficiency issues, ensuring accurate data processing with proprietary software applications.