Posted November 11, 2026, closed November 14, 2026. Check out similar open roles below.
Best suited to Python-savvy candidates with data-handling experience working in a collaborative, data-centric environment.
Derived from job-description analysis by Serendipath's career intelligence engine.
Original posting from Statista via Ashby
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 team
This job is with Statista R, a vertical business unit of Statista.
Statista R is a world leader in the creation of company, brand, and product rankings and top lists, based on comprehensive market research and data analysis: Statista R recognizes the best.
With a team of over 100 expert analysts and in cooperation with more than 40 high profile media brands across all continents like Forbes, TIME Magazine and Newsweek, Statista R creates transparency for consumers and business decision makers and helps companies build trust and recognition across a plethora of industries and product categories. A team of over 50 licensing specialists based in New York, Hamburg, Tokyo, and Singapore offers the awarded companies meaningful and eye-catching opportunities to communicate their success via logos and other award related products. Visit rankings.statista.com http://rankings.statista.com for further information about Statista R and our rankings.
Your Role
- Design, build and maintain web applications for working with data as a core part of your role, mainly using Python frameworks such as Django and Streamlit
- Work closely with our senior Data Engineer and other experienced data professionals who build our analytics products and pipelines, learn hands-on about our AWS cloud environment and ETL processes, and help build reliable data pipelines and PostgreSQL queries
- Prepare, transform and validate data so our applications and analyses rest on a solid foundation
- Create visualizations and insight reports that make findings clear and actionable, both to make our analyst team's processes more efficient and to produce strong client-facing materials
- Work with teammates to turn analytical questions into usable features and workflows, and develop repeatable ways to build expertise and value for our stakeholders
- Support projects based on large-scale, survey-based market research data, and help develop methods that complement our existing ranking products
Your Profile
- Solid hands-on skills in Python, gained through professional work, internships, research, or your own projects. Experience coding in R is advantageous
- Experience building web applications with Django and/or Streamlit is a strong plus. Knowledge of PostgreSQL or another SQL database, and basic HTML, CSS or JavaScript, is also a plus
- A basic understanding of cloud environments such as AWS and of ETL concepts, and the motivation to grow these skills alongside experienced colleagues
- Hands-on experience working with data, including querying, cleaning, analyzing, visualizing and checking data quality
- Clean coding habits that make teamwork easy, such as readable code and basic Git workflows
- Enjoyment in building tools other people use, a collaborative way of working, and the curiosity to dig into unfamiliar problems
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.
Source: Statista careers (Ashby)