Top Senior Analysis Reporting Jobs in Des Moines, IA

The Senior Data Analyst will manage projects, ensure data-driven solutions for HR compliance, mentor colleagues, and troubleshoot data issues, contributing to business growth.

The Senior Data Analytics Engineer will support audit teams by operationalizing data sources, ensuring data quality, developing data pipelines, and mentoring staff on analytics tools.

The Senior Risk Analyst will implement KYC and underwriting decisioning platforms, collaborate with clients to enhance workflows and ensure compliance, while guiding them through operational considerations and testing cycles.

The Senior Analytics Engineer designs and maintains analytics-ready data models, manages SQL-based transformations, partners with stakeholders, and ensures data quality for reporting and decision-making.

The Manufacturing Analytics Engineer will manage the analytics pipeline, transforming operational data from OT systems into actionable insights for decision-making, while collaborating with Engineering, IT, and Operations.

The Sr. Analytics Analyst will set up data feeds, create reports, perform data analysis, and ensure data quality for client implementations.

The Senior Data Engineer will design and maintain scalable data pipelines, lead medium-sized platform projects, and ensure reliability of data systems through monitoring and optimization. Responsibilities include working with cross-functional teams to improve data workflows and participate in incident response.

The role involves leading a systems analysis team for Oracle Cloud ERP in finance operations, ensuring process scalability and compliance, while mentoring team members and driving continuous improvement.

The Data Governance Leader will manage data governance engagements, align business and technical teams, implement governance processes, and coach staff on data stewardship.

This role involves defining data platform standards and integration patterns, mentoring engineers, and maintaining best practices in Azure and Databricks environments. The lead will ensure efficient data management and governance across global teams while advocating for DataOps and CI/CD practices.