Almedia
Analytics Engineer(m/w/x)
Full-timeOn-siteExperienced
Berlin
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QUQuince
Data Analyst, Marketing(m/w/x)
Berlin
from 110,000 - 125,000 / year
Full-timeOn-siteSenior
AI/ML
Data Science
Nejo AI Summary
Building marketing insights and dashboards for a DTC tech company. 5-7 years of data analytics experience required. Equity and bonus potential.
Requirements
- Bachelor’s degree in quantitative discipline
- 5-7 years relevant experience in data analytics or data science
- Experience with marketplaces or logistics preferred
- Strong analytical skills and ability to translate data to insights
- Strong proficiency in SQL
- Proficiency in Python statistical packages or similar language
- Strong proficiency with AI tools for productivity and insights
- Excellent written and oral communication skills
- Ability to communicate across business areas and with leadership
- Ability to prioritize and deliver across multiple work threads
- Strong personal work ethic, initiative, and ownership
Tasks
- Leverage data to build key insights
- Automate insights generation
- Plan and execute A/B tests
- Analyze A/B test results
- Develop daily, weekly, and monthly dashboards
- Report to leadership and the Returns team
- Prototype models for ad hoc analysis
- Improve customer and vendor experiences
- Monitor and investigate data issues
Work Experience
- 5 - 7 years
Education
- Bachelor's degree
Languages
- English – Business Fluent
Tools & Technologies
- SQL
- Python
- AI tools
Benefits
Bonuses & Incentives
- Bonus may be provided
Competitive Pay
- Equity may be provided
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Quince 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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QUQuince
Data Analyst, Marketing(m/w/x)
Berlin
from 110,000 - 125,000 / year
Full-timeOn-siteSenior
AI/ML
Data Science
Nejo AI Summary
Building marketing insights and dashboards for a DTC tech company. 5-7 years of data analytics experience required. Equity and bonus potential.
Requirements
- Bachelor’s degree in quantitative discipline
- 5-7 years relevant experience in data analytics or data science
- Experience with marketplaces or logistics preferred
- Strong analytical skills and ability to translate data to insights
- Strong proficiency in SQL
- Proficiency in Python statistical packages or similar language
- Strong proficiency with AI tools for productivity and insights
- Excellent written and oral communication skills
- Ability to communicate across business areas and with leadership
- Ability to prioritize and deliver across multiple work threads
- Strong personal work ethic, initiative, and ownership
Tasks
- Leverage data to build key insights
- Automate insights generation
- Plan and execute A/B tests
- Analyze A/B test results
- Develop daily, weekly, and monthly dashboards
- Report to leadership and the Returns team
- Prototype models for ad hoc analysis
- Improve customer and vendor experiences
- Monitor and investigate data issues
Work Experience
- 5 - 7 years
Education
- Bachelor's degree
Languages
- English – Business Fluent
Tools & Technologies
- SQL
- Python
- AI tools
Benefits
Bonuses & Incentives
- Bonus may be provided
Competitive Pay
- Equity may be provided
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Quince 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.
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
Quince
Industry
Retail
Description
Quince is a tech company disrupting the retail industry by providing high quality essentials at low prices through a direct-to-consumer model.
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