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The Revenue Technology Consultant will optimize revenue team operations by addressing inefficiencies using Salesforce and various tools, focusing on design and implementation of solutions to improve workflows and data quality.

The Account Executive will focus on acquiring new customers by selling Statista's data solutions, leading the sales cycle, and managing client relationships.

The Data Engineer will develop and optimize ETLs/ELTs, manage data workflows, collaborate with teams, and ensure data quality and security.

Responsible for financial planning, budgeting, and forecasting, overseeing financial reporting, providing insights, and improving controlling processes.

As a Full-Stack ML Engineer, you will develop backend services, data pipelines, and customer-facing UIs while leveraging ML. You'll manage the software lifecycle and write code in Python and Typescript.

Manage and expand a portfolio of Latin American clients, build relationships, identify opportunities, lead negotiations, and collaborate across teams to exceed revenue targets.

Responsible for developing and expanding Statista+ business across the Americas, managing the full sales process, and translating client challenges into tailored solutions. Collaborates with various teams to enhance pipeline quality and revenue.

As Senior Product Manager Acquisition and Growth, you will drive Statista's digital revenue engine, focusing on lead generation and user acquisition while collaborating with cross-functional teams to optimize product performance.

Manage sales and customer success reporting for EMEA, improve operational processes, analyze data, and maintain CRM accuracy.

The Client Success Manager will manage and grow the client portfolio in South Korea, ensuring exceptional client experiences and value delivery, while collaborating with sales and cross-functional teams to enhance client relationships.