The AI Job Search Engine
Senior Product Analyst – Buyer Analytics(m/w/x)
Description
In this role, you will dive deep into user behavior and the Buyer Journey, providing data-driven insights that shape product development. Your day-to-day responsibilities will involve creating self-service analytics tools, collaborating with teams, and driving continuous improvement through experimentation.
Let AI find the perfect jobs for you!
Upload your CV and Nejo AI will find matching job offers for you.
Requirements
- •Degree in economics, data science, mathematics, statistics, or related field
- •Excellent SQL skills
- •Experience with Python for data analysis and automation
- •Ability to model data and build efficient analytics pipelines
- •Strong statistical knowledge, including A/B test design and evaluation
- •Familiarity with Google Analytics and event tracking implementation
- •Expertise in data visualization tools such as QuickSight, Tableau, or similar BI platforms
- •Experience with cloud-based data lakes or data warehouses (e.g., Redshift, BigQuery, Snowflake) and analytics engineering tools (e.g., dbt)
- •Strong communication skills
- •High motivation, proactiveness, and enthusiasm for data and product analytics
- •Fluency in English
Education
Work Experience
approx. 4 - 6 years
Tasks
- •Act as an analytical partner for product teams
- •Develop a deep understanding of user behavior and the Buyer Journey
- •Analyze buyer navigation and engagement on the platform
- •Create self-service data products like dashboards and data models
- •Evaluate new analytics technologies and establish scalable use cases
- •Enhance data literacy within product teams
- •Answer business questions through analytical deep dives
- •Communicate insights, trends, and recommendations to product teams
- •Transform complex analyses into actionable guidance
- •Collaborate with engineering and data teams to ensure data quality
- •Maintain data documentation and align on metric definitions
- •Support A/B testing initiatives and ensure statistical rigor
- •Interpret experiment outcomes to drive product improvements
Tools & Technologies
Languages
English – Business Fluent
- FREENOWFull-timeOn-siteExperiencedHamburg, Berlin
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Senior Product Analyst – Buyer Analytics(m/w/x)
The AI Job Search Engine
Description
In this role, you will dive deep into user behavior and the Buyer Journey, providing data-driven insights that shape product development. Your day-to-day responsibilities will involve creating self-service analytics tools, collaborating with teams, and driving continuous improvement through experimentation.
Let AI find the perfect jobs for you!
Upload your CV and Nejo AI will find matching job offers for you.
Requirements
- •Degree in economics, data science, mathematics, statistics, or related field
- •Excellent SQL skills
- •Experience with Python for data analysis and automation
- •Ability to model data and build efficient analytics pipelines
- •Strong statistical knowledge, including A/B test design and evaluation
- •Familiarity with Google Analytics and event tracking implementation
- •Expertise in data visualization tools such as QuickSight, Tableau, or similar BI platforms
- •Experience with cloud-based data lakes or data warehouses (e.g., Redshift, BigQuery, Snowflake) and analytics engineering tools (e.g., dbt)
- •Strong communication skills
- •High motivation, proactiveness, and enthusiasm for data and product analytics
- •Fluency in English
Education
Work Experience
approx. 4 - 6 years
Tasks
- •Act as an analytical partner for product teams
- •Develop a deep understanding of user behavior and the Buyer Journey
- •Analyze buyer navigation and engagement on the platform
- •Create self-service data products like dashboards and data models
- •Evaluate new analytics technologies and establish scalable use cases
- •Enhance data literacy within product teams
- •Answer business questions through analytical deep dives
- •Communicate insights, trends, and recommendations to product teams
- •Transform complex analyses into actionable guidance
- •Collaborate with engineering and data teams to ensure data quality
- •Maintain data documentation and align on metric definitions
- •Support A/B testing initiatives and ensure statistical rigor
- •Interpret experiment outcomes to drive product improvements
Tools & Technologies
Languages
English – Business Fluent
About the Company
AutoScout24
Industry
Other
Description
The company is a high-growth organization in the digital automotive marketplace.
- FREENOW
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