Data Analyst (Digital Commerce)

Responsibilities

• Analyze digital commerce performance across marketplace and retail models, identifying trends, interdependencies, and growth opportunities.
• Design and implement standardized KPIs and performance metrics to support 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 the data platform.
• Conduct 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.

Benefits

• Motivizer Benefits Platform with a monthly budget of 550 PLN to choose and manage benefits, including medical care packages, meal tickets, sports cards, gym memberships, cinema tickets, shop vouchers, discounts, and more.
• Access to a multi-language learning platform for practicing language skills and learning new languages.
• Regular and systematic further training opportunities, both internally and through external providers.
• Internal community collaboration, networking events, coding challenges, and company parties.

Qualifications

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

Nice to Have

• Experience working 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.