Top Senior Data & Analytics Jobs in Des Moines, IA

As a Principal Business Intelligence Engineer, you'll drive data initiatives, design data architectures, influence BI tooling, and mentor analytics engineers, focusing on improving the data infrastructure and governance for AI-powered analytics.

The Senior Insights Analyst will analyze data to provide insights into the subscription economy, present findings, support reports, and manage projects while mentoring junior team members.

The Director of Underwriting will lead the underwriting team, manage teams, develop skill sets, maintain relationships with partners, and present data insights.

The Manager, InfoSec Solutions will oversee SOC audits, lead a team of auditors, innovate audit processes, and enhance customer experiences while leveraging AI technology.

Responsible for developing enterprise architecture and modern data platforms, ensuring data governance, quality, security and supporting data-related initiatives across the organization.

The Senior Data Engineer leads the design and optimization of scalable data pipelines for AI-driven analytics while collaborating with cross-functional teams. Responsibilities include ensuring data integrity, automation, and compliance in cloud environments, particularly on Google Cloud Platform, to enhance decision-making processes.

The Senior Software Engineer designs and builds data products for genomics research, creating data pipelines, ensuring compliance, and collaborating with R&D teams.

The Sr Cloud Database Administrator manages and optimizes AWS-hosted MariaDB environments, troubleshooting performance issues and supporting database operations for DrChrono, a healthcare SaaS application.

In this role, you will design data architecture, lead integration strategies, mentor engineers, and drive AI infrastructure for cross-division data systems.

The specialist will guide customers in cloud data warehousing transformations, provide technical leadership on big data projects, and assist in architecting production-level data pipelines with a focus on performance tuning and data modeling.