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?
Your Role
As (Senior) Analyst at Statista R, you will join our international team of data professionals, supporting the analytical backbone of Statista’s ranking business at Statista R.
Your work will focus on analyzing quantitative data, defining analytical models together with the topic experts and managing data driven ranking projects and products primarily around the education space.
Your work will include the collection, validation, and analysis of data that powers our Rankings, Ratings, and Benchmarking projects. Moreover, you will support the development of new, data-driven products.
In being the data structure and analytics backbone of the team, you will work closely with different project teams as well as cross divisional teams to improve data handling processes and strategic alignment with departmental goals. Hereby, you always consider new AI capabilities to improve efficiency in the team.
Your work will directly support Statista’s mission to make excellence measurable, comparable, and actionable - globally.
Your Tasks
Support in maintaining and further developing Statista’s rankings and data products, ensuring consistency, accuracy, and scalability
Support in building and the internal database structure in alignment with cross-departmental teams
Collaborate on and manage rankings and benchmarking projects - from design over data handling to scoring and results analysis
Develop and document data models and scoring frameworks in alignment with current academic research in cooperation with the analyst team
Support the team in ensuring data transparency and quality as well as alignment with reporting standards through data structures
Support in assessing and identifying data needs
Actively contribute ideas for new data-driven education products and improvement of existing workflows
Your Profile
Master’s degree (or equivalent) in Economy, Social Science, Data Science or related field
3+ years of experience in data analytics or data structures, ideally in a research environment
Good understanding of statistics and statistical modelling e.g. through analytical job experience or research projects
Proven skills in Python (or R Studio), including experience in data cleaning, data analysis, and data visualization. SQL is a plus.
Experience working with decision makers and delivering actionable, data-driven insights
Understanding of AI trends and good knowledge of relevant tools
Fluent in English, German or other languages a plus
Strong analytical mindset and ability to transform complex data into actionable insights
Good understanding of Microsoft Office Package, in particular very good Excel skills are an advantage
Work independently and reliably as well as a resilient and flexible team player
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.
Skills Required
- Master's degree or equivalent in economics, social science, data science, or a related field
- At least 3 years of experience in data analytics or data structures, ideally in a research environment
- Good understanding of statistics and statistical modeling
- Proficiency in Python or R Studio, including data cleaning, analysis, and visualization
- SQL experience
- Experience working with decision makers and delivering actionable, data-driven insights
- Understanding of AI trends and relevant tools
- Fluent English
- German or other languages
- Strong analytical mindset and ability to transform complex data into actionable insights
- Good understanding of Microsoft Office, particularly Excel
- Very good Excel skills
- Ability to work independently, reliably, resiliently, and flexibly as a team player
Statista Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Statista and has not been reviewed or approved by Statista.
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Healthcare Strength — Health coverage is described as including medical, dental, vision, and mental‑health benefits, with U.S. health insurance employer‑verified and generally viewed as decent. Feedback suggests core healthcare offerings meet standard expectations across several offices, though experiences vary by location.
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Leave & Time Off Breadth — Time off is characterized by generous PTO, paid sick days, paid holidays, bereavement leave, and even sabbatical eligibility. Feedback suggests these policies, alongside flexible or hybrid work arrangements, support a reasonable work–life balance.
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Wellbeing & Lifestyle Benefits — Office and culture perks such as commuter benefits, snacks/drinks, company events, and wellness or fitness options are frequently highlighted. Feedback suggests these non‑cash perks help create a positive day‑to‑day experience even when cash elements feel modest.
Statista Insights
What We Do
Who We Are Statista believes that precise, accurate, and reliable data is the most important element needed for an organization to excel. We’re a rapidly growing international data-as-a-service organization with an IPO on the horizon. We leverage an easy-to-use online platform with a diverse and up-to-date collection of data, analytics, and information to give our partners access to an infinite number of business sectors, geographic areas, and consumers. Statista enables teams to learn from its data, assess market value, and make critical and well-informed business decisions based on truth, not opinions. Culture at Statista Founded 15 years ago in Hamburg, we have quickly developed into a global company. In our 13 office locations, we employ over 1,400 colleagues from more than 60 nationalities. In our international working environment, everyone is encouraged to contribute ideas to make Statista a special place to work. Our culture, framed by clear goals and a supporting team, paves the way for us to stay a profitable, leading player in the market. Why You Should Choose Statista · Our mission- helping companies make decisions with facts, not opinions · We put our people first forming a strong company culture grounded in our core ethics of community, integrity, communication, initiative, and accountability · Opportunities to grow and hone your sales expertise in a rapidly growing company · A diverse and international company with 13 locations worldwide, with our HQ in Hamburg,Germany · A beautiful office in NYC at 3 WTC, with the view of Hudson River, Freedom Tower, Empire State Building, Chrysler Building, and Hudson Yards · Medical, Dental, and Vision benefits · Flexible office hours/remote work as needed · Casual office attire, dog friendly, and a kitchen full of snacks and beverages
