Jobs at Statista

Localize and create APAC-specific marketing assets, coordinate marketing requests with Sales and CS, run KPI-driven campaign measurement, and build/optimize marketing automations and AI-powered workflows in a hybrid Singapore-based role.

Lead global sales enablement programs end-to-end for 300+ commercial staff: design structured learning, create content, coach reps and managers, partner cross-functionally, and measure impact on ramp, win rates, deal velocity, content usage, and revenue.

Serve as a technical, customer-facing API Consultant focused on pitching and demoing Statista Connect, building custom demo agents and prompts, guiding customers from setup to advanced integrations, driving adoption through analytics-driven outreach, resolving integration blockers, and supporting sales with upsell opportunities while feeding product insights back to engineering.

Design, document and roll out end-to-end sales processes across CRM, customer lifecycle, contract/subscription management and revenue reporting. Translate stakeholder requests into prioritized requirements, define tool workflows and automations (e.g., Salesforce), align cross-functional stakeholders, maintain commercial governance and SOPs, and track process KPIs to drive continuous improvement and report impact to leadership.

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.

Support company strategy by coordinating strategic initiatives, conducting market and competitor analyses, preparing decision papers and workshops for senior management, and ensuring cross-team alignment to identify and enable growth opportunities.

Design and build backend services in PHP (and TypeScript/Node), create asynchronous event-driven systems, write and optimize complex SQL, operate services on AWS, and contribute across the stack including Nuxt 3/Vue 3 frontends.

Perform market analysis and build statistical models to estimate and forecast market size and KPIs. Develop reproducible Python workflows, analyze structured and unstructured data, support AI-enabled tools, and collaborate with Data Engineering to scale proprietary data production.

Own full sales cycle for international projects (rankings/awards). Generate new business, build relationships with decision-makers, close deals, contribute to European sales strategy, collaborate with media partners, and coordinate internal sales, marketing, and project teams.

Manage a unified tracking system, design event architecture, write tracking plans, and ensure GDPR compliance while collaborating on performance analysis.

Lead a team of Data and AI engineers, develop AI solutions, design cloud infrastructure, and streamline data processes. Collaborate with stakeholders to align AI efforts with business goals.

Design, build, and maintain backend services and event-driven pipelines (Kotlin, PHP, Python). Connect systems to CDPs and marketing channels, ensure data collection, transformation, activation, scalability, reliability, security and observability. Drive technical design, mentor engineers, collaborate with marketing/data/product teams, and promote engineering best practices and CI/CD processes. Use AI tools to improve productivity.

The role involves developing scalable customer-facing APIs, managing data flows, and mentoring team members while implementing AWS and CI/CD practices.

Manage full sales cycle for international projects across Nordics and BeNeLux: generate leads, close deals, coordinate internal teams, develop European sales strategies, and partner with major media outlets.

The Data Engineer will manage tracking data pipelines, ensure data quality and governance, optimize ELT processes, and collaborate with teams to enhance data accessibility and reliability.

Manage end-to-end sales for international projects (rankings and awards) in Spain. Generate new business, close deals with key decision-makers, develop and execute European sales strategies, coordinate with media partners and internal teams, and collaborate across sales, marketing, and project teams.

The role involves supporting B2B sales in APAC, managing client relationships, driving the sales cycle, and collaborating with partners to optimize sales measures.

Build and maintain scalable ETL/data pipelines and orchestration for content publishing, optimize and monitor data infrastructure, automate processes, and collaborate with data and content teams.

Design, build, and optimize scalable data models using modern data stack tools. Transform raw data into documented, reliable datasets, implement data quality checks, develop semantic layers, and collaborate with engineers, analysts, and stakeholders to improve data accessibility, governance, and enable AI-driven analytics.

Lead top-line revenue planning, budgeting and quarterly forecasts; translate plans into sales targets; prepare monthly performance analyses and C-level presentations; support QBRs; monitor revenue deviations and risks; improve forecasting logic, financial models and data quality; collaborate with Sales, Revenue Ops, Finance and BI; calculate and validate sales bonus payouts.