Data Analyst (Digital Commerce)

O projekcie As a Data Analyst focusing on Digital Commerce you will empower the Digital Business Department to make impactful, data-driven decisions by transforming complex web analytics and commercial data into valuable insights. To achieve this, your focus will be on providing analysis on the performance of our marketplace business model and OBIs own retail and on the interdependencies between both value streams. Furthermore you will be implementing modern AI tools directly within our Databricks platform and Looker.

About OBI Smart Technologies

Who are we

We are a joint venture between OBI and Reply Group, responsible for co-designing, building and operating mission-critical digital platforms for commerce, customer service, and omnichannel retail.

Our mission

"We unite technology leadership with deep retail vision to implement standardized processes and scalable digital products that drive efficient support for one of Europe’s largest DIY retailers. Leveraging proven best practices, we advance the internationalization of products and the digital mindset of our partners, delivering consistent and business-critical solutions to support the targets of our customer."

Benefits

• 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.

Zakres obowiązków

• 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.

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 Cloud Core.
• Experience in independently designing and implementing standardized KPIs and performance metrics to support business decision-making.
• 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.

Oferujemy

• Sport subscription
• Training budget
• Private healthcare
• Flat structure
• Lunch card
• Small teams
• International projects
• Free coffee
• Bike parking
• Free beverages
• Mobile phone
• In-house trainings
• Modern office
• Startup atmosphere
• No dress code