Top Data & Analytics Jobs in Des Moines, IA

The Product Analyst will design experiments, analyze user behavior, and communicate insights to drive engagement and retention decisions effectively.

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

The Data Entry Specialist manages invoices and payments, ensuring accurate data processing and maintaining records while supporting basic administrative tasks.

The Market Analyst will analyze market data to inform growth strategies, synthesize insights for decision-making, and build analytical models to support performance across markets.

The Senior Data Analyst will lead complex data analysis projects, mentor junior analysts, develop dashboards, and provide insights to drive strategic decisions. Responsibilities include troubleshooting data issues and communicating findings effectively.

The role involves collaborating with business units, facilitating project coordination, resource planning, documenting requirements, and supporting the IT intake process to enhance project delivery and stakeholder satisfaction.

The Staff Product Analytics Engineer will enhance product data usage across teams by owning data infrastructure, creating tools for self-service data, and ensuring data-driven decisions. Responsibilities include collaborating with various teams to improve data insights and maintain data pipelines.

The Senior Manager, Risk Analytics & Decision Science will shape credit strategies, improve decisioning frameworks, and optimize model performance to enhance approval, pricing, and portfolio outcomes.

The Solution Engineer - Data Engineering Specialist will provide technical leadership in the financial services sector, collaborating with sales teams to demonstrate Snowflake's data platform capabilities while engaging with technical and executive stakeholders.

Lead Analytics Engineer responsible for end-to-end data solution design, evolving data architecture, mentoring engineers, driving data health and observability, enabling cross-functional measurement, and contributing to roadmap and decision-making.