Top Senior Analysis Reporting Jobs in Des Moines, IA

Lead the evolution of data platform by designing scalable pipelines, improving data processes, mentoring teams, and modernizing data architecture.

Embed with the CRO to deliver GTM analytics and insights: write SQL and dbt models, build Looker and Salesforce dashboards, define and track revenue KPIs, forecast and model revenue, partner with GTM leaders and Data Engineering, lead analytics projects, and translate complex data into executive-ready recommendations to drive upsell and new-business growth.

The Senior Analytics Engineer will develop data pipelines, build models, and create dashboards to provide actionable insights for various teams. The role requires collaboration with multiple stakeholders to meet analytical needs and ensure data governance.

Lead and manage a team of data engineers to develop and maintain data pipelines and warehouses, ensuring data quality and adherence to best practices.

The Senior Reporting & Analytics Consultant leads customer-focused reporting and analytics engagements, developing solutions, supporting implementations, and training clients, while ensuring project success.

The Senior Data Analyst oversees performance reporting tools, automates data pipelines, conducts quantitative analyses, and communicates findings to various stakeholders.

Lead analytics, space management, and category management teams across multiple client accounts. Partner with senior leadership to manage client relationships, translate priorities into actionable team direction, deliver data-driven insights that drive measurable client value, optimize tools and processes, and identify growth opportunities.

Design, develop, test, deploy, and support SAP BusinessObjects BI solutions (universes, reports, dashboards) across SAP BW and non-SAP sources, with emphasis on supply chain reporting and BI strategy.

Lead design and delivery of scalable data platforms and pipelines on Azure (Synapse, Data Factory, OneLake, Microsoft Fabric). Build BI solutions with Power BI (DAX, Power Query/M), implement data warehousing and semantic models, promote CI/CD and governance, mentor engineers, and collaborate with stakeholders to deliver data-driven insights.

Lead enterprise data, analytics, and insights strategy to drive business performance. Own executive dashboards, customer segmentation, lifetime value models, governance, and scalable self-service analytics. Partner with Product, Technology, Operations, and other stakeholders to operationalize insights, ensure data quality and consistency, and build a high-performing analytics team with career paths, training, and measurable business outcomes.