Top Data & Analytics Jobs in Des Moines, IA

The Lead Data Consultant will design and deliver scalable data solutions, manage project teams, and optimize client data environments, ensuring effective project execution and communication.

The GTM Planning Lead will optimize sales strategies, manage territory planning, quota management, and ensure execution alignment by collaborating with key stakeholders.

The Growth Analyst partners with teams to set metrics, develop dashboards, run investigations, and translate insights to improve product initiatives.

As an Energy Analyst, you will manage demand response programs in NYISO and PJM, monitor compliance, track client performance, and prepare market intelligence. This role requires strong analytical skills and interaction with various teams.

The Yield and Data Analyst will lead yield strategy, performance analysis, and operational improvements across media channels. Responsibilities include yield analysis, dashboard development, collaboration with Product and Engineering, and supporting pricing strategy.

The Senior Revenue Strategy & Planning Analyst will focus on planning, forecasting, compensation modeling, quota setting, and capacity planning to align with business growth objectives. They will analyze performance trends and support revenue operations initiatives across Sales and Customer Success teams.

The Quantitative Researcher will develop quantitative trading strategies and improve existing infrastructure for cross-chain trading, focusing on performance and capital efficiency in crypto markets.

As a Senior Analyst, you will transform marketing data into actionable insights, manage analytics requests, and optimize data-driven marketing strategies to influence customer retention and lifetime value.

Data Analyst role involves partnering across teams to develop analytical solutions, building dashboards, and managing analytics projects end-to-end, with 7+ years of experience required.

The VP of Data and AI will define the data ecosystem, manage data ingestion and governance, lead teams, and architect ML foundations.