Top Senior Analysis Reporting Jobs in Des Moines, IA

This role focuses on driving data-driven decisions in Paid Media strategies by analyzing performance metrics, optimizing media investments, and collaborating with various teams to enhance customer acquisition.

The Senior Customer Lifecycle Analyst will enhance marketing performance by leveraging technical expertise in customer lifecycle management, evaluating campaign effectiveness, and providing strategic insights to optimize marketing strategies.

The Manager of RevOps/Yield analyzes patterns and data to optimize ad operations, manage vendor relationships, and oversee a remote team for revenue generation.

Lead the design of a secure, governed Data Lakehouse platform for FinTech, focusing on data protection, integration, and governance. Responsibilities include implementing security strategies, managing data pipelines, and ensuring compliance with data regulations.

The Sr. Actuarial Analyst develops financial forecasts for healthcare partners, optimizing processes and conducting data analysis to enhance decision-making.

Lead the design and implementation of enterprise data platforms using Snowflake, overseeing data architecture, governance, and integration with analytics teams.

The Data Architect II designs and manages data architecture, ensuring data governance and quality across platforms. Responsibilities include integrating data systems, enhancing data strategy, and mentoring junior team members.

The Manager of Operational Analytics leads a team to improve partner relationships through analytics, overseeing reporting, performance dashboards, and implementing AI tools for enhanced insights.

The Data Manager will maintain data integrity in HubSpot, optimize data workflows, generate reports, and enforce data governance. Responsibilities include managing integrations and supporting ad hoc analysis for cross-functional teams, requiring strong analytical skills and startup experience.

The Staff Data Engineer will design and maintain data systems, streamline workflow for Data Analytics and Machine Learning teams, and ensure data pipelines are efficient and reliable. Responsibilities also include driving large projects, collaborating across teams, mentoring, and supporting the company's strategy.