Data Analyst - Internship

Job Description

Location : Remote within Germany

Duration : 3 months

Compensation : Paid internship / EUR 940.00 per month

Internship Overview

Comprehensive introduction to practical data work within a professional environment.

Collaboration with the data team on active analytical projects.

Hands-on experience with real datasets and reporting workflows.

Exposure to the full data lifecycle from collection to interpretation.

Fully remote participation from anywhere within Germany.

Structured communication through regular check-ins, collaborative sessions, and documented processes.

Key Responsibilities

Collect, organize, and clean data from a variety of internal and external sources.

Support the creation of dashboards, weekly reports, and visual summaries for different teams.

Conduct exploratory data analysis to identify patterns, trends, and insights.

Perform data quality checks and help resolve inconsistencies and inaccuracies.

Maintain and update internal datasets, including basic documentation and version organization.

Assist with ad-hoc analytical tasks such as comparisons, calculations, and short research assignments.

Participate in team meetings, share findings, discuss challenges, and align on priorities.

Gain familiarity with new analytical tools and apply them to guided tasks.

Document work clearly so team members can understand and extend your contributions.

Requirements

Candidate Profile

Currently studying or recently graduated from a quantitative or analytical field (e.g., mathematics, statistics, economics, engineering, business analytics).

Basic understanding of dataset structures, common metrics, and fundamental analytical concepts.

Comfortable using Excel or Google Sheets, including formulas, sorting, filtering, and basic validation.

Strong attention to detail with the ability to spot errors or inconsistencies in data.

Curious, motivated, and eager to expand your analytical capabilities.

Organized and reliable when working remotely and managing your workflow.

Clear communicator who is able to document work and ask the right questions.

Benefits

What You Will Gain From the Internship

A structured and paid three-month program focused on real data analysis tasks.

Close support and feedback from experienced data professionals.

Concrete project experience that strengthens your CV and portfolio.

Access to training materials, internal documentation, and supportive learning resources.

Flexible remote work arrangement while remaining integrated with the team.

Insight into how data informs both day-to-day operations and long-term strategy.

Opportunities to explore different branches of analytics such as visualization, performance tracking, and process improvement.

Consideration for future employment or ongoing collaboration based on performance.

A learning-focused environment where progress, questions, and development are actively encouraged.

If this sounds interesting to you, we encourage you to apply.

Requirements

Who We're Looking For : Educational Background : Bachelor’s or Master’s degree in Business Administration, Marketing, Finance, or a related field. Professional Experience : Minimum of 3 years experience in business development, sales, or a similar role. Strategic Thinking : Proven ability to develop and implement effective business strategies that drive growth. Sales Acumen : Strong track record of meeting or exceeding sales targets and driving revenue growth. Networking Skills : Excellent networking abilities with a knack for building and maintaining long-term client relationships. Communication : Exceptional verbal and written communication skills, with the ability to present ideas clearly and persuasively. Analytical Skills : Proficient in analyzing market trends, competitor activities, and customer needs to identify opportunities. Project Management : Strong organizational and project management skills, capable of handling multiple initiatives simultaneously. Tech-Savvy : Comfortable using CRM software, data analysis tools, and remote collaboration platforms. Self-Motivated : Highly motivated and able to work independently in a remote environment.