Statista

(Senior) Analyst (m/f/d)

Hamburg, Germany full-time Mid Salary not listed
full-time Mid level Technology & IT Curated
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About the role

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.
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Interview prep

Walk in with sharper answers.

Use this as a quick practice sheet before you speak with the employer.

Mid
Technology & IT Data Analysis Excel MySQL Python SQL Mid level

Likely questions

  1. Tell us about work you have done that is close to the (Senior) Analyst (m/f/d) role.
  2. How would you approach your first 30 days at Statista?
  3. Which of Data Analysis, Excel and MySQL have you used recently, and what did it help you achieve?
  4. Describe a time you solved a problem without waiting to be told exactly what to do.
  5. How do you handle busy days, changing priorities, or pressure at work?

Prepare before the call

  • A recent example that proves your experience with Data Analysis, Excel and MySQL.
  • One short story with a problem, your action, and the result.
  • Two examples that show the strengths listed on your CV.
  • A clear reason why this role and company interest you.
  • Your availability, preferred work style, and salary expectations.

Ask them

  • What would success look like in the first 90 days?
  • What are the main problems this hire should help solve?
  • How does the team give feedback and measure good work?
  • What does a normal working week look like for this role?
Practice line

I am interested in the (Senior) Analyst (m/f/d) role because I can bring practical experience in Data Analysis, Excel and MySQL, learn the team quickly, and contribute to the outcomes Statista needs from this hire.

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