📍 Location: Paris
📅 Start date & Duration : 6 Months - ASAP
💰 Compensation : According to profile
Assist in analyzing user behavior, ride trends, and operational performance.
Work with large datasets from our carpooling platform to generate insights for decision-making.
Help build dashboards and reports for various teams (product, operations, marketing).
Support data cleaning, transformation, and visualization using SQL, DBT and BI tools like Metabase.
Contribute to A/B testing, performance tracking, and user segmentation analysis.
Work closely with the data team to automate data processes and improve reporting efficiency.
🔎 Gain hands-on experience in end-to-end data analysis using real-world mobility data.
💻 Develop proficiency in SQL, DBT, Bigquery and BI tools by building dashboards and automating reports.
🤝 Strengthen skills in data storytelling and cross-functional collaboration with product, ops, and marketing teams.
🎯 Learn to clean, transform, and interpret large datasets to generate actionable business insights.
Currently pursuing a degree in Data Science, Analytics, Engineering, Computer Science, or a related field.
Strong SQL skills and familiarity with querying large datasets.
Basic knowledge of Python for data analysis (Pandas, NumPy, Matplotlib).
Experience with BI tools (Metabase, Tableau, Power BI, or similar) is a plus.
Understanding of statistics, data modeling, or A/B testing is a plus.
Strong problem-solving mindset and ability to work with messy real-world data.
Good communication skills and the ability to translate data insights into actionable recommendations.
✅ Real Impact – Work on real-world data problems that directly impact urban mobility.
✅ Hands-On Learning – Gain exposure to SQL, Python, Metabase, and data warehousing (BigQuery, DBT).
✅ Mentorship & Growth – Work closely with experienced data professionals in a collaborative environment.
✅ Innovative Culture – Join a fast-paced, innovative team making a difference in transportation.
If you’re excited about data and mobility, apply now and be a part of Karos’ data-driven journey! 🚗 📊
📞 (1) Initial Interview: First contact with Vikrant, our Senior Data Analyst.
🔢 (2) Technical Interview: with Vikrant, our Senior Data Analyst.
🚀 (3) Final Interview: with one Product team member and our CFO, Olivier.
♀️♂️ Ladies, we know that many women do not apply if they do not have all the listed skills, so take the leap! Gentlemen, we are also looking forward to your applications.
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