15 hours ago

Intern Data Analyst

Nilo

On Site
Contractor
€24,000
Berlin, Berlin, Germany

Job Overview

Job TitleIntern Data Analyst
Job TypeContractor
CategoryCommerce
Experience5 Years
DegreeMaster
Offered Salary€24,000
LocationBerlin, Berlin, Germany

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Job Description

About the Intern Data Analyst Role at nilo

We are seeking a curious, detail-oriented Intern Data Analyst to join our innovative tech team. This is an exceptional opportunity to apply your academic knowledge to real-world datasets, uncovering compelling stories that drive crucial business decisions within the mental health domain. You will gain invaluable experience working with modern data infrastructure and contribute directly to nilo's mission.

Your Key Responsibilities

  • Data Cleaning & Prep: Assist in the extraction, transformation, and loading (ETL) of data from various sources, ensuring accuracy and consistency across our systems.
  • Reporting & Dashboards: Help build and diligently maintain a suite of automated dashboards using Metabase, providing clear insights to stakeholders.
  • Ad-hoc Analysis: Support the team by conducting exploratory data analysis to efficiently answer specific, pressing business questions.
  • Documentation: Maintain clear, comprehensive documentation of data models, definitions, and analysis methodologies for organizational clarity.
  • Collaboration: Work closely with stakeholders across different departments to deeply understand their data needs and present findings in an actionable, understandable format.

Skills for Success

To excel as an Intern Data Analyst at nilo, you should possess:

  • Education: Currently pursuing or recently completed a degree in quantitative and technical fields, such as engineering, computer science, information systems, data science, statistics, or mathematics.
  • Database Querying: Strong foundational knowledge and practical experience with SQL.
  • Programming: Proficiency in Python, particularly for conducting ad-hoc analyses.
  • Analytical Mindset: A proven ability to break down complex problems and a genuine passion for identifying patterns within data.
  • Communication: Excellent written and verbal communication skills, crucial for explaining technical concepts effectively to non-technical team members.
  • AI: A proactive approach to adopting AI productively and professionally, augmenting your efficiency without compromising privacy or work integrity.

Bonus skills that will set you apart include:

  • Familiarity with cloud platforms like AWS.
  • Knowledge of version control systems, especially GitHub.
  • Previous experience or involvement in projects utilizing machine learning or statistical modeling.

What nilo Offers

  • Hands-on experience with cutting-edge modern data infrastructure.
  • Direct mentorship from experienced senior analysts and data scientists.
  • Unique exposure to how data strategically drives a mental health company.
  • Free access to the nilo app, including family support.
  • A flexible hybrid working model, balancing in-office collaboration with remote work.
  • Urban Sports Club membership at a discounted rate.
  • Regular team and company events to foster connection and collaboration.

nilo is committed to diversity and inclusivity. We encourage all qualified candidates to apply, regardless of background, and even if you don't meet every technical requirement.

Key skills/competency

  • Data Analysis
  • SQL
  • Python
  • ETL
  • Dashboarding
  • Metabase
  • Exploratory Data Analysis
  • Data Documentation
  • Communication
  • Problem Solving

Tags:

Data Analyst Intern
Data Cleaning
ETL
Reporting
Dashboards
Ad-hoc Analysis
Documentation
Collaboration
Problem-solving
Analytical Mindset
Communication
SQL
Python
Metabase
AWS
GitHub
Machine Learning
Statistical Modeling
Data Infrastructure
Cloud Platforms
AI

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How to Get Hired at Nilo

  • Research nilo's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
  • Tailor your resume: Customize your application to highlight SQL, Python, and data analysis projects relevant to nilo's mental health data focus.
  • Showcase analytical prowess: Prepare to discuss how you've broken down complex problems and identified patterns in data during interviews.
  • Emphasize communication skills: Practice explaining technical concepts clearly to non-technical audiences, a key requirement at nilo.
  • Highlight AI adaptability: Be ready to share examples of how you productively leverage AI tools while ensuring data integrity.

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