Data Analyst (Digital Commerce)

Quick Facts

Role: Data Analyst (Digital Commerce) (B2B)

Description

Transform complex web analytics and commercial data into valuable insights to help the Digital Business Department make data-driven decisions. Analyze marketplace and retail performance, implement standardized KPIs, build data pipelines using SQL and Python on Databricks, and create self-service analytics with Looker. Scale AI-driven analytics use cases (including conversational analytics) within the data platform and deliver ad-hoc analyses with additional data sources.

Responsibilities

• Analyze digital commerce performance across marketplace and retail models; identify trends, interdependencies, and growth opportunities.
• Design and implement standardized KPIs and performance metrics for business decision-making.
• Develop and maintain data pipelines and analytical workflows using SQL, Python, and Databricks.
• Build and enable self-service analytics solutions, including dashboards and reporting tools in Looker.
• Implement and scale AI-driven analytics use cases such as conversational analytics within Databricks.
• Perform ad-hoc analyses and complex analytical projects combining tracking data with additional data sources.
• Collaborate with cross-functional teams (Digital Business, Marketing, Product, Category Management) to translate data into actionable insights.

Requirements

• Completed degree in a quantitative field (e.g., Computer Science, (Business) Informatics, Statistics, Marketing, or comparable).
• Several years of professional experience in digital analytics, preferably in e-commerce or digital business.
• Strong knowledge of web analytics tools (Adobe Analytics, Google Analytics, or Webtrekk) and understanding of tracking methodologies.
• Excellent SQL and/or Python skills, ideally with raw tracking or large-scale analytical datasets.
• Experience with BI and data platforms such as Databricks and Looker Cloud Core.
• Experience independently designing and implementing standardized KPIs and performance metrics.
• Strong communication skills in English and Polish; ability to explain complex insights to non-technical stakeholders.
• Openness to work in a hybrid model and visit the Katowice office.

Nice to Have

• Experience with AI-driven analytics tools or conversational analytics solutions.
• Familiarity with large-scale e-commerce or marketplace business models.
• Experience building scalable data products or self-service analytics platforms.