ApplySenior Data Analyst (m/f/d) - Shop Analytics - onsite or remote within Germany
Posted about 10 hours agoViewed
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📍 Location: Germany
🔍 Industry: E-commerce
🪄 Skills: PythonSQLData AnalysisData MiningGoogle AnalyticsCommunication SkillsAnalytical SkillsData visualizationData modelingA/B testing
Requirements:
- Advanced SQL (Python is a plus)
- Experience working with tracking data (GA4 a plus)
- Experience with version control software and data warehouse (gitlab, GBQ or similar)
- Experience with data visualization tools (eg. Looker Studio or similar)
- Experience with data mining, cleaning
- Knowledge in user behavior analysis and visualization
- Able to work and drive topics independently with Stakeholders
- Excellent analytical thinking, a passion for working with numbers, and the ability to deliver thoughtful solutions based on data analyses
- Excellent communication skills to convey complex analytical findings in a clear and actionable manner
- Self-driven, motivated and organized
Responsibilities:
- Offer advice to Business and Product Owners on leveraging data-driven insights for optimizing products, crafting A/B Tests, and provide user behavior insights to refine product enhancement strategies
- Define and monitor key performance metrics, essential for product success and provide internal teams with efficient analysis to track and evaluate product performance
- Conduct ad-hoc data analyses, collaborating with e-commerce managers and product owners to devise solutions, and present findings to management
- Gather and scrutinize data from diverse sources such as internal platforms, third-party tools, and market studies to detect trends, patterns, and potential opportunities
- Act as the primary resource for product-oriented data inquiries and advise on organization-wide data product requirements to extend and optimize our product analytics and data framework
- Develop and enhance dashboards within Google Looker Studio, enabling comprehensive analyses through business intelligence tools
- Collaborate with IT teams to optimize data infrastructure, systems, and tools for efficient data gathering, storage, and analysis
- Generate management reports and conduct analyses
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