# Intern at Economics Consultancy (m/f/d) at E Ca

> Germany · Intern · Other · open. Source: https://alderhq.app/jobs/personio%3Ae-ca%3A369975 (read 2026-11-08).

## Facts (observed)

- Company: [E Ca](https://alderhq.app/companies/e-ca)
- Location text: Berlin
- Where it can be done from (inferred): Germany (evidence: "Location: Berlin")
- Posted: 2021-05-12 (2006 days ago)
- First seen by alder: 2026-11-04 · last verified: 2026-11-04
- Reposted: 0 times · edited: 0 times
- Apply on the employer's site: https://e-ca.jobs.personio.de/job/369975
- Skills listed (inferred): Python

## Pay and sponsorship

- Posted pay: not posted
- Market band for similar posted roles (Berlin, n 10): p25 €29k, median €48k, p75 €48k

## Description (the employer's text)

### About the role

- Conducting literature research and gathering data from various sources.
- Performing quantitative and qualitative data analysis to support casework.
- Collaborating with experienced economists to contribute to impactful projects.
- Preparing clear, concise documentation and presentations for case teams.
### About you

- Enrolled in an Economics programme as an advanced Bachelor’s or Master’s student or a recent graduate.
- Prior practical experience in competition economics.
- Good knowledge of statistical software such as Stata, R, or Python.
- Robust analytical and problem-solving skills.
- Excellent command of English (required); German native-level skills are highly welcome.
- Valid work permit.
### How to apply

- A cover letter explaining your motivation and relevant experience.
- Your CV.
- A transcript of records (ToR) from your university.
- Professional and/or academic references (if available)
- Copies of selected recent publications (if applicable)
We look forward to your application!

E.CA Economics GmbH / Schlossplatz 1 / 10178 Berlin, Germany

Learn more about us on Linkedin

www.e-ca.com/

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Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/personio%3Ae-ca%3A369975 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.