Data Analyst (Digital Commerce) (B2B)

100 - 140 PLN/ godz./ godz.B2BB2B (netto)

MidHybryda·KatowiceFull-time·B2B

#412132·Dodano dwa miesiące temu·5

Źródło: justjoin.it

🚫Oferta wygasła. Ta oferta pracy nie jest już aktywna i rekrutacja została zakończona.

Tech Stack / Keywords

digital analysisAdobe AnalyticsGoogle AnalyticWebtrekkSQL Python DatabricksLooker

Podsumowanie oferty

As a Data Analyst focusing on Digital Commerce, you will empower the Digital Business Department to make impactful data-driven decisions by analyzing marketplace and retail performance, implementing AI tools within the data platform, and delivering actionable insights through collaboration with cross-functional teams. Your role includes designing KPIs, developing data pipelines, and building self-service analytics solutions.

Wymagania

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 skills in SQL and/or Python, ideally working with raw tracking or large-scale analytical datasets.
Experience with BI and data platforms such as Databricks and Looker.
Strong communication skills in English and Polish, with the ability to explain complex insights to non-technical stakeholders.
Openness to work in hybrid model and visit 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.

Obowiązki

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.

Inne informacje

Informujemy, że administratorem danych jest Reply Polska Sp. z o.o. z siedzibą w Katowicach. Masz prawo do żądania dostępu do swoich danych osobowych, ich sprostowania, usunięcia lub ograniczenia przetwarzania, prawo do wniesienia sprzeciwu wobec przetwarzania, a także prawo do przenoszenia danych oraz wniesienia skargi do organu nadzorczego. Dane osobowe przetwarzane będą w celu realizacji procesu rekrutacji. Podanie danych obowiązkowych jest konieczne. Zgoda na przetwarzanie danych osobowych może zostać wycofana w dowolnym momencie.

OBI SMART TECHNOLOGIES POLAND

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