Comprehensive introduction to practical
data work within a professional environment.
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Collaboration with the data team on
active analytical projects.
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Hands -on experience with real datasets
and reporting workflows.
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Exposure to the full data lifecycle from
collection to interpretation.
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Fully remote participation from anywhere
within Germany.
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Structured communication through regular
check -ins, collaborative sessions, and documented processes.
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Collect, organize, and clean data from a
variety of internal and external sources.
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Support the creation of dashboards,
weekly reports, and visual summaries for different teams.
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Conduct exploratory data analysis to
identify patterns, trends, and insights.
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Perform data quality checks and help
resolve inconsistencies and inaccuracies.
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Maintain and update internal datasets,
including basic documentation and version organization.
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Assist with ad -hoc analytical tasks such
as comparisons, calculations, and short research assignments.
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Participate in team meetings, share
findings, discuss challenges, and align on priorities.
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Gain familiarity with new analytical
tools and apply them to guided tasks.
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Document work clearly so team members can
understand and extend your contributions. 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. 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.
<\/p><\/li><\/ul><\/span>Requirements<\/h3>
Candidate Profile
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<\/p><\/li><\/ul><\/div><\/span>Benefits<\/h3>
What You Will Gain From the Internship
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If this sounds interesting to you, we encourage you to apply.
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