At Statista, we’re all about facts and data, for we are the world's leading business data platform. By providing reliable and easy-to-use data as well as various data analytics products and services, we empower people wo…
Skills: Data analysis, Python, Statistical modeling, Data cleaning, Data visualization
At Statista, we’re all about facts and data, for we are the world's leading business data platform. By providing reliable and easy-to-use data as well as various data analytics products and services, we empower people wo…
Skills: Product management, B2B SaaS, Digital subscription models, Lead generation, User activation
Senior Full-Stack Engineer - Data Intelligence Applications (m/f/d)
Germany · Hybrid
Senior
At Statista, we’re all about facts and data, for we are the world's leading business data platform. By providing reliable and easy-to-use data as well as various data analytics products and services, we empower people wo…
At Statista, we’re all about facts and data, for we are the world's leading business data platform. By providing reliable and easy-to-use data as well as various data analytics products and services, we empower people wo…
Skills: Python, Graph algorithms, System architecture, Data lineage, Deterministic design
At Statista, we’re all about facts and data, for we are the world's leading business data platform. By providing reliable and easy-to-use data as well as various data analytics products and services, we empower people wo…
At Statista, we’re all about facts and data, for we are the world's leading business data platform. By providing reliable and easy-to-use data as well as various data analytics products and services, we empower people wo…
Skills: Data operations, Data partnerships, Data engineering, Team leadership, KPI management
At Statista, we’re all about facts and data, for we are the world's leading business data platform. By providing reliable and easy-to-use data as well as various data analytics products and services, we empower people wo…
Skills: Data Engineering, Python, Cloud Infrastructure, AWS, Apache Airflow
At Statista, we’re all about facts and data, for we are the world's leading business data platform. By providing reliable and easy-to-use data as well as various data analytics products and services, we empower people wo…
Skills: Python, Data Engineering, AI Engineering, Cloud Infrastructure, AWS
At Statista, we’re all about facts and data, for we are the world's leading business data platform. By providing reliable and easy-to-use data as well as various data analytics products and services, we empower people wo…
Skills: Analytical Thinking, Critical Thinking, English Proficiency, German Proficiency, Microsoft PowerPoint
At Statista, we’re all about facts and data, for we are the world's leading business data platform. By providing reliable and easy-to-use data as well as various data analytics products and services, we empower people wo…
Skills: REST API, JSON, OAuth, API Keys, Technical Pitching
Working Student – Italian-speaking Data Researcher
Hamburg, Germany · Hybrid
Entry level
At Statista, we’re all about facts and data, for we are the world's leading business data platform. By providing reliable and easy-to-use data as well as various data analytics products and services, we empower people wo…
Skills: Online Research, Data Cleaning, Microsoft Excel, Italian Language, English Language
At Statista, we’re all about facts and data, for we are the world's leading business data platform. By providing reliable and easy-to-use data as well as various data analytics products and services, we empower people wo…
At Statista, we’re all about facts and data, for we are the world's leading business data platform. By providing reliable and easy-to-use data as well as various data analytics products and services, we empower people wo…
At Statista, we’re all about facts and data, for we are the world's leading business data platform. By providing reliable and easy-to-use data as well as various data analytics products and services, we empower people wo…
At Statista, we’re all about facts and data, for we are the world's leading business data platform. By providing reliable and easy-to-use data as well as various data analytics products and services, we empower people wo…
At Statista, we’re all about facts and data, for we are the world's leading business data platform. By providing reliable and easy-to-use data as well as various data analytics products and services, we empower people wo…
At Statista, we’re all about facts and data, for we are the world's leading business data platform. By providing reliable and easy-to-use data as well as various data analytics products and services, we empower people wo…
Skills: GA4, Google Tag Manager, Server-Side Tracking, Event Architecture, SPA Tracking
Bei Statista dreht sich alles um Daten und Fakten, denn wir sind die weltweit führende Business Data Plattform. Durch die Bereitstellung verlässlicher und einfach nutzbarer Daten sowie verschiedener Datenanalyseprodukte …
Skills: IFRS, Financial Reporting, SAP S/4HANA Public Cloud, Lucanet, MS Excel
At Statista, we’re all about facts and data, for we are the world's leading business data platform. By providing reliable and easy-to-use data as well as various data analytics products and services, we empower people wo…
At Statista, we’re all about facts and data, for we are the world's leading business data platform. By providing reliable and easy-to-use data as well as various data analytics products and services, we empower people wo…
Skills: Python, SQL, Power BI, Tableau, Data Visualization
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Full-time
bachelor degree
Work from abroad up to 30 calendar days a year, Hybrid work, Flex-time, International team, Social events, Subsidized urban mobility
Posted 1d ago
~40 hrs/week
Responsibilities
You will support analysts in building and maintaining proprietary data while contributing to the improvement of analytical workflows and production systems. Your tasks include cleaning datasets, developing Python-based scripts, and identifying key market trends to enhance data production efficiency.
Requirements
Candidates must be currently enrolled at a university in a quantitative field such as Data Science, Statistics, or Computer Science. Strong analytical skills and basic experience with Python are required, while familiarity with SQL and statistical methods is considered a plus.
Full job description
At Statista, we’re all about facts and data, for we are the world's leading business data platform. By providing reliable and easy-to-use data as well as various data analytics products and services, we empower people worldwide to make fact-based decisions.
Founded in Hamburg in 2007, we have quickly grown into a global company with offices in major cities such as London, New York, Berlin and Tokyo. And we still have a lot of plans. Our constant growth does not only prove our success, but also keeps creating new development and career opportunities for our employees.
We value and celebrate our diverse culture. You are welcome here for who you are, no matter where you come from, what you look like, or whether you prefer bar graphs to pie charts. Your story matters – keep writing it as part of our team.
Are you ready to join us?
Our Mission
As AI rapidly transforms how information is created and consumed, high-quality proprietary data is becoming the critical ingredient for generating trustworthy insights and enabling better decisions. Models become more powerful as the quality of the underlying data improves.
The mission of the Modeled Data department is to develop high-quality proprietary data at scale, empowering our customers to make better business decisions with confidence.
To achieve this, we are building the next generation of proprietary data production: a standardized, AI-enabled production system that combines artificial intelligence and human expertise to deliver scalable, transparent, and high-quality outputs.
We believe the future is not AI instead of analysts, but AI together with analysts. AI excels at automating repetitive work, scaling production, and accelerating execution, while analysts contribute structured problem solving, statistical reasoning, domain expertise, and critical judgment. Together, they create outcomes that neither could achieve alone.
Our analysts therefore have a dual mission: they continuously deepen their expertise in business domains and statistical modeling while simultaneously helping build and improve the AI-powered production platform that will define the future of proprietary data.
Your Role
As a Working Student, you will support our analysts in building and maintaining proprietary data and contribute to improving our analytical workflows and production systems.
Your responsibilities
Support the analysis of structured and unstructured data from internal and external sources
Assist in collecting, cleaning, and preparing datasets for modeling and analysis
Help build and maintain Python-based analytical workflows and scripts
Support analysts in identifying trends, patterns, and key market insights
Assist in improving data pipelines, methodologies, and documentation
Contribute to ongoing projects that aim to make our data production more scalable and efficient
Your Profile
Enrolled student at a university (mandatory)
Field of study in Data Science, Statistics, Computer Science, Economics, or a related quantitative discipline (preferred)
Strong analytical thinking and structured problem-solving skills
Basic experience with Python (e.g., through coursework, projects, or internships)
Interest in data, markets, and business dynamics
Ability to work independently and in a structured way
Strong written and verbal communication skills (English required, German is a plus)
Nice to have
Experience with SQL or databases
Familiarity with data analysis or visualization tools
Exposure to statistical methods or market research
Interest in AI tools (e.g., ChatGPT, Copilot)
Your Team
You will be part of an international, data-driven team working on analytical projects across different markets and industries. You will support real modeling and data production work while gaining hands-on experience with data, tools, and methodologies.
This role offers the opportunity to learn how proprietary data is built at scale and how analytical workflows can be combined with AI to create scalable data products.
What we offer
In addition to our great team, culture, and our shared goal of empowering people with data, there are many other things that make Statista a great place to work! Join us and benefit from:
Work from abroad up to 30 calendar days a year
Hybrid work and flex-time
International team and social events
Subsidized urban mobility and access to fitness and wellness options
Free access to Langdock and all its amazing functionalities
Career & training opportunities
Attractive locations and modern offices
Mental health support with OpenUp
Some of the benefits listed here apply only to the German entity and to Junior-level roles or above.
Related keywords
Data ScienceStatisticsComputer ScienceEconomicsPythonSQLData AnalysisData ModelingAIMachine LearningMarket ResearchData PipelinesBusiness IntelligenceQuantitative AnalysisAnalytical WorkflowsProprietary Data
Statista aims to empower people worldwide to make better and faster fact-based business decisions by providing a simple-to-use and affordable global business-data platform.
Our innovative spirit is strengthened by an international and diverse team of over 1,100 employees representing more than 70 nations working at 8 office locations around the globe including our HQ in Hamburg, New York City, London, Singapore, Tokyo, Gurugram, and Berlin.
Offices: Johannes-Brahms-Platz 1, Hamburg, 20355, DE · 55 Broad Street, Floor 30, New York, NY 10006, US · Hudson House, 8 Tavistock Street, London, WC2E 7PP, GB · 20, Rue Cambon, Paris, Ile-de-France 75001, FR · 138 Market Street (CapitaGreen building), Singapore , Singapore 048945, SG
Professionaleasily accessible platform with marketcompany and consumer data on 60,000 topics from over 18,000 sourcesresearch and analysis of markets and trendsfree daily infographics focusing on mediatechnologyeconomy and society.and consumer researchBusiness DevelopmentConsulting
Statista aims to empower people worldwide to make better and faster fact-based business decisions by providing a simple-to-use and affordable global business-data platform.
Our innovative spirit is strengthened by an international and diverse team of over 1,100 employees representing more than 70 nations working at 8 office locations around the globe including our HQ in Hamburg, New York City, London, Singapore, Tokyo, Gurugram, and Berlin.
Offices: Johannes-Brahms-Platz 1, Hamburg, 20355, DE · 55 Broad Street, Floor 30, New York, NY 10006, US · Hudson House, 8 Tavistock Street, London, WC2E 7PP, GB · 20, Rue Cambon, Paris, Ile-de-France 75001, FR · 138 Market Street (CapitaGreen building), Singapore , Singapore 048945, SG
Professionaleasily accessible platform with marketcompany and consumer data on 60,000 topics from over 18,000 sourcesresearch and analysis of markets and trendsfree daily infographics focusing on mediatechnologyeconomy and society.and consumer researchBusiness DevelopmentConsulting