Top Remote Analysis Reporting Jobs in Des Moines, IA

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.

The Solutions Architect oversees project architecture and delivery, acts as a product liaison, and contributes to the professional services development for Trimble's Construction One platform.

Manage and develop a team of Data Analysts, oversee analytics deliverables, partner with cross-functional teams to deliver insights, and implement BI tools.

As a Senior Actuary, you'll lead profitability assessments, refine pricing, develop actuarial models, mentor juniors, and oversee regulatory filings.

The Data Analyst will measure performance by creating metrics, dashboards, and insights to drive commercial growth and operational excellence, using SQL and Python alongside stakeholder engagement.