Data Analyst - Digital Commerce & AI Insights

Reply

Katowice

Hybrid

PLN 120.000 - 180.000

Vollzeit

14 Tage+

Eine vollständige Bewerbung in einer Minute

Maßgeschneiderter Lebenslauf und Anschreiben – versandbereit.

Schaffe es an den ATS-Filtern vorbei

Benefits dieser Stelle

Budget 550 PLN monthly (Motivizer)
Medical care package
Meal tickets
Sports cards (Multisport)
Cinema tickets
Shop vouchers
Discounts and more
Gym membership
Language courses
Training opportunities
Networking events
Coding challenges
Company parties

Zusammenfassung

OBI Smart Technologies, a joint venture between OBI and Reply Group, seeks a Data Analyst focused on Digital Commerce to transform web analytics and commercial data into actionable insights. You will implement AI tools in Databricks and build Looker dashboards to support cross-functional decision making.

Responsibilities include developing standardized KPIs, maintaining data pipelines with SQL and Python, and enabling self-service analytics while collaborating with Digital Business, Marketing,

Qualifikationen

  • 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.

Aufgaben

  • 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.
  • Motivizer Benefits Platform to choose and manage all your benefits in one place. You receive a budget (550 PLN monthly). You can choose medical care package, meal tickets, sports cards (we have Multisport and on preferential terms, we have membership cards to one of the most popular Gyms), cinema tickets, shop vouchers, discounts and many more.
  • Language Courses – you'll have access to a multi-language learning platform enabling you to practice your language skills and learn new ones!
  • Regular and systematic further training opportunities - both internally and from external providers. We support your ongoing learning and development.
  • Cooperation within an internal community is our everyday reality. We have networking events, coding challenges, and company parties for different occasions.

Kenntnisse

Communication
English
Polish

Ausbildung

Quantitative degree (CS/Inf/Stats)

Tools

SQL
Python
Databricks
Looker
Adobe Analytics
Google Analytics
Webtrekk

Jobbeschreibung

OBI Smart Technologies, a joint venture between OBI and Reply Group, seeks a Data Analyst focused on Digital Commerce to transform web analytics and commercial data into actionable insights. You will implement AI tools in Databricks and build Looker dashboards to support cross-functional decision making.

Responsibilities include developing standardized KPIs, maintaining data pipelines with SQL and Python, and enabling self-service analytics while collaborating with Digital Business, Marketing,

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