Jobs at Statista

Owns new-business sales across Northern Europe by building territory plans, generating outbound pipeline, qualifying opportunities, developing proposals, negotiating contracts, closing deals, forecasting accurately, and handing successful accounts to the post-sale team. The role requires B2B sales experience, target achievement, strong discovery and account-planning skills, commercial curiosity, and fluent English. It is hybrid in London, with customer and industry-event travel as needed.

Own enterprise new-business sales across Northern Europe, from account planning and stakeholder prospecting through consultative discovery, business-case development, negotiation, procurement, forecasting, and close. The role targets large multi-division organizations, requires executive-level engagement and complex buying-group management, and includes handing successful accounts to the post-sale team. Fluent English is required; Dutch or Swedish is advantageous. The position is hybrid from the London office with customer and industry-event travel.

The Mid-Market Account Executive will build territory plans, generate outbound and inbound pipeline, conduct discovery, prepare proposals, negotiate and close new business, manage ARR targets, forecast accurately, and hand off won accounts. The role requires B2B sales experience, strong prospecting and qualification skills, commercial acumen, multilingual communication, and the ability to work hybrid from London while traveling for customer meetings and industry events.

Own enterprise new-business sales across Southern Europe by planning named accounts, generating pipeline, leading consultative discovery, building business cases, navigating complex buying groups and procurement, forecasting, negotiating, and closing deals. The role requires B2B enterprise sales experience, executive-level engagement, multilingual capability in English plus French, Italian, or Spanish, hybrid work from London, and customer travel.

Own the vision and roadmap for Statista’s core platform capabilities. Translate technical challenges into prioritized requirements, partner with engineering on data infrastructure, APIs, internal tooling, and platform reliability, and identify AI and automation opportunities. Evaluate integrations involving AI/ML services, MCP protocols, and data pipelines while aligning technical and business stakeholders on priorities, trade-offs, and timelines.

Deliver customer-facing pitches and live demos of Statista Connect’s API and MCP solutions. Build tailored agents, prompts, workflows, onboarding materials, and tutorials; guide integrations and adoption; analyze usage data and health scores; resolve technical blockers; identify expansion opportunities; support sales conversations; and provide product and engineering feedback.

Manage a portfolio of academic and public-sector clients across EMEA, advising them on Statista products and demonstrating value for teaching, learning, and research. Build client engagement strategies, deliver workshops and presentations, identify account growth opportunities, meet revenue targets, and strengthen long-term relationships in partnership with Sales Managers.

Manage a portfolio of academic and public-sector clients across EMEA, advising them on Statista products and data solutions. Build client relationships, deliver workshops and presentations, identify account-growth opportunities, support revenue targets, and develop long-term engagement strategies with Sales Managers.

Lead and grow a mixed team of DevOps, software, and data engineers building and operating a Snowflake- and Kafka-based data platform. Partner with product leadership, guide technical architecture, ensure platform security and reliability, manage governance and cost controls, and support data producers. Oversee infrastructure as code, Kubernetes, CI/CD, AWS, event streaming, and data contracts while remaining technically engaged in design reviews and automation.

Provide Level 1 IT support for hardware, software, workplace services, and global users. Own tickets through resolution or escalation while meeting SLAs and maintaining English documentation. Identify recurring issues, create knowledge resources, support IT onboarding, and collaborate with Tech Ops and DWO teams. The role also contributes to automation, service improvements, workplace infrastructure projects, identity and access management, endpoint management, ITSM, and asset management.

Leads finance transformation and optimization projects, improves end-to-end processes across accounting and controlling, implements ERP and reporting systems, develops RPA solutions, and drives cross-functional change management with Finance, IT, tax, and external partners.

Create branded print and digital sales, licensing, promotional, and merchandising materials. Responsibilities include layout, final artwork, prepress, print-ready PDF production, image optimization, award badge and seal design, corporate design implementation, and AI-supported creative workflows. Collaborate with Sales and Project Management to produce clear, visually engaging communications aligned with brand guidelines.

Analyze, validate, and structure quantitative data for education-focused rankings, ratings, and benchmarking products. Develop statistical models, scoring frameworks, databases, and data-driven products while ensuring transparency, accuracy, scalability, and reporting alignment. Collaborate with analysts, topic experts, and cross-functional teams to identify data needs, improve workflows, apply AI capabilities, and deliver actionable insights.

Manage B2B customer relationships across a portfolio of accounts, driving onboarding, platform adoption, value realization, renewals, and expansion. The role requires monitoring account health, usage trends, risks, and opportunities; building relationships with stakeholders up to VP and Director level; demonstrating commercial impact; and collaborating closely with sales.

Designs, builds, and improves data workflows, backend services, AI agents, pipelines, and workflow orchestration systems. The role centralizes fragmented tools, supports production-grade internal platforms, improves reliability and automation, and translates analyst and stakeholder requirements into scalable technical solutions. Requires strong Python, SQL, data modeling, AI application, Git, and data engineering skills, with collaboration across analysts, engineers, and business stakeholders.

Design, implement, and maintain Python backend services and CI/CD/GitOps pipelines on AWS/Kubernetes. Build and maintain data models (Avro, SQL), publish via Kafka and schema registry, create access-layer models in Snowflake, and coordinate between Data and Tech teams to align schemas, priorities, and timelines.

Design and build a versioned, deterministic scoring and computation engine: model methodology as versioned data, ensure reproducible execution lineage, provide typed APIs, enforce rigorous testing, and own technical architecture and mentorship.

Design, operate, and optimize scalable ELT pipelines and platform infrastructure for international healthcare data. Build entity-resolution and MDM workflows, implement schema governance and data contracts, optimize cloud storage and warehouse costs, and automate CI/CD for data pipelines while partnering with analytics and domain experts to deliver production-ready datasets.

Lead design and implementation of customer-facing data intelligence applications: build shared API layers, low-latency data-access and caching strategies, advanced interactive visualizations, LLM-enabled interfaces, and mentor engineers while shaping architecture and standards.