Jobs at Statista

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

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

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.

Lead Statista's insights organization (~40 people), define AI-first strategy, drive automation and scalable processes for insights production, ensure quality assurance, own editorial direction, collaborate with Data Engineering, use analytics to measure impact and prioritize topics, and develop six Team Leads.

Design, build, and maintain scalable Salesforce solutions (Apex, LWC, Flows), lead CPQ and quote-to-cash, implement integrations (Keylight, Clay, billing systems), ensure data integrity and CI/CD deployment, partner with Sales/RevOps/Finance to translate business requirements and improve platform efficiency.

Lead and build Statista's EMEA Customer Success function: design and embed CS operating model (segmentation, health scoring, QBRs, onboarding), protect GRR in 2026, drive NRR and expansion, implement processes in Salesforce and CS platforms, develop and coach the CSM team, and partner with Sales, RevOps and Product to operationalise regional CS strategy.

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.

As a Junior Key Account Manager, you will manage the sales cycle, develop business opportunities, collaborate with media partners, and mentor the sales team.

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

Lead a cross-functional team building Statista's internal Content Tooling platform: set a 12–18 month direction, manage dependencies, drive stability, performance, and migrations, and introduce AI-assisted engineering practices while collaborating with product and stakeholders.

The (Senior) Key Account Manager will drive the licensing business in Italy, manage the sales cycle, develop new opportunities, and collaborate with stakeholders to enhance brand credibility through Statista's products.

Manage sales in Scandinavia, achieve sales targets, build relationships, increase visibility, and conduct product presentations.

Manage sales in the academic and public sector in Benelux, achieve targets, build customer relationships, and grow the network for Statista.

The Lead Head of Billing will oversee the delivery and development of an integrated Billing Service, managing cross-functional teams, product ownership, and complex billing system architectures for international operations.

Manage a portfolio of CPG clients, drive revenue growth, build relationships with stakeholders, lead contract negotiations, and collaborate across departments to create tailored client solutions.

As a DevOps Engineer at Statista, you will maintain and scale production applications, automate CI/CD pipelines, and manage infrastructure for AI workflows.

The Business Development Manager will acquire new B2B clients in the public sector, develop sales opportunities, achieve sales targets, create campaigns, and work closely with Customer Success Managers.

The Senior Account Executive will manage the full sales cycle to acquire new customers, focusing on selling data and research solutions. Responsibilities include outbound prospecting, engaging decision-makers, conducting demos, and achieving sales targets.

Lead and support finance transformation projects: analyze, standardize and optimize end-to-end finance processes (R2R, O2C, P2P); implement and evolve ERP/finance systems and reporting; design automation (RPA); drive efficiency improvements and change management in close collaboration with Accounting, Controlling, Tax, AR, IT and external partners.