How do I apply for the Analytics Intern position at bunch and track my application?

We provide a direct link to the official application portal. You can apply directly here . Additionally, you can easily track this and other applications by clicking the bookmark icon to save it to your YGI Kanban board .

Is the internship at bunch paid and what compensation can candidates expect?

Yes, this is a paid internship opportunity. Exact compensation details are typically finalized during the company interview process.

What are the working arrangements and expected duration for the Analytics Intern role?

This position is a not disclosed, structured as a hybrid role, with an expected duration of 6 months.

What educational background or degree level is required for the Analytics Intern at bunch?

Candidates are generally expected to be holding or pursuing the following degree levels: Bachelor, Master.

Does bunch provide visa sponsorship or assistance for international applicants?

Regarding visa assistance and sponsorship for this role, the official status is currently listed as: Not disclosed.

Analytics Intern

bunch

Found 1 month ago

Location

Berlin, Germany

Duration (Months)

6 Months

Time

Not disclosed

Work Mode

Hybrid

Salary

A competitive compensation package

Visa Help

Not disclosed

Last Verified

1 month ago

Education

Bachelor
Master

Skills & Qualifications

Technical Skills

SQL
Python

Soft Skills

Adaptability
Problem Solver
Communicator

Job Description

We're looking for an Analytics Intern to join our team for 6 months. You'll own one or more internal analytics domains end-to-end—from data engineering to data quality to reporting—and work on projects that have real impact on how bunch operates. Our Analytics team sits at the intersection of data engineering, business intelligence, and product—turning raw fund and investor data into insights that drive decisions across the company.

Requirements

Studying or recently graduated in Business, Finance, Economics, STEM or a related field.
You've taught yourself SQL, Python, or similar tools and used them in coursework/projects.
You’re excited about working in a fast-moving startup environment with ambiguous requirements.
Structured thinker who can break a vague problem down into a clear investigation plan.
Building relationships with business stakeholders and communicating data findings comes naturally to you.

Data & Analytics

Data Analysis

Nice to Haves

Modern Data Stack: dlt, dbt, BigQuery
Pipeline Engineering
Domain Expertise: How private markets data flows—from fund operations to investor onboarding to reporting.
Impact: Working in a cross-functional analytics team that ships to internal stakeholders.

Apply Now

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