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.