Tourlane GmbH
Senior Data Analyst - Marketing and Commercial(m/w/x)
Full-timeWith HomeofficeSenior
Berlin
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ATAtolls
Senior Data Analyst (Community & Product Forensics)(m/w/x)
Berlin
Full-timeWith Home OfficeSenior
Data Science
Nejo AI Summary
Deep-dive analytics on high-volume event data for a global shopping platform. Complex SQL and Python predictive modeling skills required. 32 days vacation, flexible hybrid work.
Requirements
- Experience writing complex SQL
- Investigating web/app event data
- Building predictive models in Python
- Dedication to creating exceptional user experiences
- Driving innovation
- Advanced mastery of SQL (CTEs, Window Functions, Optimization)
- ClickHouse experience
- Basic understanding of web/app tracking
- Comfortable using tools to inspect network payloads
- Comfortable debugging event triggers
- Analytical intuition for spotting data anomalies
- Tenacity to investigate data anomalies
- Basic knowledge of Airflow for scheduling
- Proficiency in Python (Pandas, Scikit-learn)
- Statistical modeling in Python
- Complex data manipulation in Python
- Experience analyzing developer communities
- Experience analyzing forums
- Experience analyzing social platforms
Tasks
- Perform deep-dive analytics on high-volume event data
- Identify and resolve data discrepancies
- Analyze complex member behaviors for community growth
- Build and deploy models using Python
- Write optimized SQL queries in ClickHouse
- Audit and clean dirty data
- Handle bot activity, duplicate identities, and tracking gaps
- Ensure data accuracy and integrity
- Drive community growth through data insights
Work Experience
- approx. 4 - 6 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- SQL
- ClickHouse
- Python
- Pandas
- Scikit-learn
- Airflow
Benefits
Flexible Working
- Flexible hybrid working scheme
Learning & Development
- Personal and professional development
- Learning budget
- Internal training
Career Advancement
- Internal mobility opportunities
More Vacation Days
- 32 days of paid vacation
- Birthday off
Mental Health Support
- Mental health coaching
Team Events
- Global and local get-togethers
Workation & Sabbatical
- Sabbatical after three years
Modern Equipment
- Cloud-based company setup
Additional Allowances
- Additional local perks
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Atolls and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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ATAtolls
Senior Data Analyst (Community & Product Forensics)(m/w/x)
Berlin
Full-timeWith Home OfficeSenior
Data Science
Nejo AI Summary
Deep-dive analytics on high-volume event data for a global shopping platform. Complex SQL and Python predictive modeling skills required. 32 days vacation, flexible hybrid work.
Requirements
- Experience writing complex SQL
- Investigating web/app event data
- Building predictive models in Python
- Dedication to creating exceptional user experiences
- Driving innovation
- Advanced mastery of SQL (CTEs, Window Functions, Optimization)
- ClickHouse experience
- Basic understanding of web/app tracking
- Comfortable using tools to inspect network payloads
- Comfortable debugging event triggers
- Analytical intuition for spotting data anomalies
- Tenacity to investigate data anomalies
- Basic knowledge of Airflow for scheduling
- Proficiency in Python (Pandas, Scikit-learn)
- Statistical modeling in Python
- Complex data manipulation in Python
- Experience analyzing developer communities
- Experience analyzing forums
- Experience analyzing social platforms
Tasks
- Perform deep-dive analytics on high-volume event data
- Identify and resolve data discrepancies
- Analyze complex member behaviors for community growth
- Build and deploy models using Python
- Write optimized SQL queries in ClickHouse
- Audit and clean dirty data
- Handle bot activity, duplicate identities, and tracking gaps
- Ensure data accuracy and integrity
- Drive community growth through data insights
Work Experience
- approx. 4 - 6 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- SQL
- ClickHouse
- Python
- Pandas
- Scikit-learn
- Airflow
Benefits
Flexible Working
- Flexible hybrid working scheme
Learning & Development
- Personal and professional development
- Learning budget
- Internal training
Career Advancement
- Internal mobility opportunities
More Vacation Days
- 32 days of paid vacation
- Birthday off
Mental Health Support
- Mental health coaching
Team Events
- Global and local get-togethers
Workation & Sabbatical
- Sabbatical after three years
Modern Equipment
- Cloud-based company setup
Additional Allowances
- Additional local perks
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Atolls and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
About the Company
Atolls
Industry
Retail
Description
The company is the world’s largest community-driven shopping platform, helping millions make smarter spending decisions.
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