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(Senior) Analyst (m/f/d)

StatistaHamburg, GermanyFull-timeSalary not listed · Typical pay in GermanyPosted Nov 4, 2026

This listing is for a (Senior) Analyst (m/f/d) role at Statista, in Hamburg, Germany. It is listed as a full-time, senior position with hybrid working.

Written by Dev Global Jobs

DGJ summary of this job

Our own short read of this listing, built only from the facts it gives. The employer’s original text follows further down.

This listing is for a (Senior) Analyst (m/f/d) role at Statista, in Hamburg, Germany. It is listed as a full-time, senior position with hybrid working.

Reading the advert, the employer asks for 3+ years of experience.

Skills and tools named in the text include Python, SQL, Excel, data analysis, statistics and research.

No salary is given in this listing, so check the official pay figures in the DGJ Insight section below where they exist.

The advert does not mention visa sponsorship. If you would move to Germany for this job, check the official work permit route first (DGJ Insight lists it where we have it).

Dev Global Jobs found this job on Arbeitnow on Nov 4, 2026; the apply link was last checked on Nov 6, 2026.

Employer
Statista
Location
Hamburg, Germany
Work mode
hybrid
Job type
Full-time
Level (from the title)
senior
Pay
Not stated by the employer
Experience asked
3+ years
Found
Nov 4, 2026 on Arbeitnow
Employer text
659 words, about 3 min to read
Skills named in the advert
PythonSQLExceldata analysisstatisticsresearch
Before you apply
  • Apply only on the official page (arbeitnow.com). Dev Global Jobs is not the employer and never asks for a fee.
  • Compare your own experience with the 3+ years the advert asks for, and show it clearly near the top of your CV.
  • Mirror the skills the advert names (Python, SQL, Excel and data analysis) in your CV where you really have them; applicant tracking systems look for these words.
  • Read the employer’s full text below (about 3 min) before you apply.
  • Build or check your CV with the free DGJ CV Builder.
Only on Dev Global Jobs

DGJ Insight

Our own data about this role and place, from official statistics and our live job index.

Updated Nov 6, 2026
Pay benchmark
Average wage, Germany
EUR 54,840 average / year

Source: OECD Average annual wages, 2025

Cost of living · Hamburg
84.3 vs New York = 100

UN living-cost index for Hamburg (ICSC post adjustment 48.1), as of 1 Oct 2026.

Source: ICSC post adjustment classifications (icsc.un.org)

Work permit route
  • EU Blue Card: Recognised degree and a job offer above the salary threshold
  • Skilled worker visa (Fachkräfte): Recognised qualification and a job offer
  • Opportunity Card (Chancenkarte): Points-based job search for up to one year

Official routes: Make it in Germany (Federal Government portal)

Freshness
Apply link answered

Answered at our last check on Nov 6, 2026.

Job description

About the role

Full text from the employer, as published on Arbeitnow, arranged into sections. Nothing added or removed.

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?

01Your 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.

 

02Your 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

03Your 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

04What 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.

Find more English Speaking Jobs in Germany on Arbeitnow

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