Statista

Financial Planning and Analysis

• Assisting our data researchers in creating statistical content, covering the following industries: financial services, financial institutions, financial instruments & investments, insurance.
• Processing and publishing data in English and German for the Statista website and database, using our editorial style.
• Managing content using Statista’s own content management system (CMS).
• Developing a better understanding of data and quantitative research as well as utilizing AI to streamline processes.

Working Student – Data Finance, Health

Artificial Intelligence

• Design and implement data‑driven, AI‑powered improvements across marketing systems
• Partner with Product, Marketing and Engineering to create scalable, automated experiences
• Drive the design and rollout of AI‑driven automation use cases across Marketing, Sales and Product
• Analyze and optimize the lead‑to‑customer funnel in collaboration with CRM, Sales and Product teams
• Co‑own the evolution of the lead scoring model
• Partner with UX/UI, Marketing and Data to design and evaluate A/B tests
• Build smart, consent‑aware “journey enablement” components
• Use analytics tools to identify bottlenecks and measure automation impact

Marketing AI & Automation Manager

DevOps Engineer

• Design and operate a company-wide event bus built on Kafka, evolving our existing real-time event monitoring system into a scalable, self-service platform
• Define and maintain all infrastructure as code using AWS CDK across ECS, Lambda, DynamoDB, VPC, IAM, and CloudWatch
• Build and maintain CI/CD pipelines with zero-downtime deployments and robust rollback capabilities
• Create self-service tooling and documentation so engineering teams can independently onboard to the platform
• Instrument the platform with Datadog, define SLOs, and build runbooks that make operations manageable at scale
• Embed security best practices from day one: IAM least-privilege, secrets management, and network segmentation

DevOps Engineer – Event Streaming Platform

Customer Success Manager

• Drive product onboarding, adoption, value realization, and long–term success across high-value multi-product accounts.
• Run regular check-ins and business reviews to align on goals, track success metrics, and surface new use cases
• Develop and execute tailored active success plans for strategic accounts, aligned to business objectives and product use cases, and drive measurable outcomes through adoption of core and advanced product capabilities.
• Identify and document success-driven expansion opportunities in collaboration with Account Management team.
• Collaborate with Product, Support and Marketing teams to deliver customer outcomes.

Key Client Success Manager

Data Engineer

• Work collaboratively with our data sourcing and architecture teams to build a state-of-the-art data publishing infrastructure for existing and future products
• Build and maintain data pipelines that scale Statista’s content management and production
• Develop reliable data orchestration workflow to ensure and support the automated publishing processes of Statista’s content teams
• Proactively analyze established processes in our content and data teams to identify opportunities for optimization and automation
• Monitor and optimize data infrastructure to ensure high availability, performance, and security
• Stay up-to-date with important developments in AI & Automation to ensure constant revision and upgrades of our services and tools.

Working Student – Data Finance, Health

Marketing AI & Automation Manager

DevOps Engineer – Event Streaming Platform

Key Client Success Manager

Junior Data Engineer