Customer Care Specialist in Leipzig handling travel booking inquiries for a top vacation platform. Providing assistance via phone and email to enhance customer satisfaction.
About the role
- Data Analyst driving eCommerce performance optimization at Belkin. Transforming metrics into actionable insights to support marketing and business strategies.
Responsibilities
- Analyze eCommerce performance across channels (Belkin.com and Tik Tok Shop) to identify trends, risks, and growth opportunities
- Conduct weekly and monthly performance analysis on KPIs such as Revenue, Traffic, Conversion Rate (CVR), AOV, ROAS, Margin, and Customer Retention
- Provide clear, actionable insights that inform pricing, promotions, assortment, and marketing strategy
- Translate complex data findings into concise recommendations for technical and non-technical stakeholders
- Support end-to-end marketing measurement including: pre-campaign measurement planning, in-campaign performance monitoring, post-campaign analysis and insights
- Partner with marketing teams on A/B testing and experimentation, including hypothesis definition, results analysis, and learnings
- Evaluate campaign effectiveness using attribution, incrementality, and cohort analysis where applicable
- Build, maintain, and enhance dashboards using Power BI and/or Tableau
- Ensure reports are accurate, scalable, and user-friendly for business stakeholders
- Automate recurring reports to reduce manual effort and improve data freshness
- Maintain consistent metric definitions and documentation across dashboards
- Work with data engineering and IT teams to ensure data accuracy, availability, and consistency
- Identify data quality issues and support root-cause analysis
- Help define and maintain analytics standards (e.g., UTM tagging, channel grouping, and KPI definitions)
- Support continuous improvement of analytics processes and tools
Requirements
- Bachelor's degree in business Analytics, Data Analytics, Statistics, Mathematics, Economics, or related fields
- 3–5 years of experience in a data analyst or business analytics role in retail or eCommerce
- Strong proficiency in SQL and Excel for data analysis and validation
- Hands-on experience with data visualization tools such as Power BI or Tableau
- Experience working with large datasets from platforms such as GA4, CRM systems, or similar
- Strong analytical thinking and ability to translate data into business insights
- Familiarity with Python or R for exploratory analysis and automation
- Experience with experimentation frameworks (A/B testing, test-and-learn)
- Understanding of customer analytics concepts such as LTV, retention, and cohort analysis
Benefits
- Performance-based bonus
- Full range of medical, financial, and/or other benefits
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