Pricing Data Analyst/Scientist - Retail
⚲ Warszawa, Łódź, Poznań, Białystok, Kraków, Zielona Góra
Do uzgodnienia
Wymagania
- price analytics
- MS Excel
- BI
- Databricks
- Python
Opis stanowiska
Offer description
We are looking for a Data Scientist or Data Analyst to join an international project focused on Strategic Revenue Management (SRM) solutions.
The project focuses on pricing data analysis and the development of tools to support pricing decisions in the retail industry.
Responsibilities
• Analyzing pricing data and supporting Strategic Revenue Management processes
• Working with pricing metrics such as Price Index, Price Corridor, and Price Ladder
• Preparing analyses and dashboards to support business decisions
• Collaborating with business experts and Data & Analytics teams on the development of analytical products
• Participating in the development and automation of analytical solutions using modern AI tools
• Working with data in the Databricks environment.
Requirements
• Minimum 3 years of experience as a Data Scientist or Data Analyst
• Experience in the retail industry, preferably in the area of pricing, revenue management, or commercial analytics
• Practical knowledge of pricing analyses and indicators such as Price Index, Price Corridor, Price Ladder, or similar
• Experience in preparing business analyses and dashboards
• Very good knowledge of Excel
• Experience with BI tools (Power BI, Tableau, or similar)
• Ability to collaborate with businesses and translate requirements into analytical solutions
Nice to have
• Knowledge Python
• Experience with Databricks
• Experience with Generative AI or software development tools (e.g., GitHub Copilot)
• Experience building web dashboards or analytical applications
What we offer
• Modern technology stack and openness to implementing new solutions
• Participation in diverse and technologically advanced analytical projects
• Private healthcare and sports card
• Flexible working hours and the possibility of 100% remote work
• Team building events and unforgettable company events
We are looking for a Data Scientist or Data Analyst to join an international project focused on Strategic Revenue Management (SRM) solutions.
The project focuses on pricing data analysis and the development of tools to support pricing decisions in the retail industry.
Responsibilities
• Analyzing pricing data and supporting Strategic Revenue Management processes
• Working with pricing metrics such as Price Index, Price Corridor, and Price Ladder
• Preparing analyses and dashboards to support business decisions
• Collaborating with business experts and Data & Analytics teams on the development of analytical products
• Participating in the development and automation of analytical solutions using modern AI tools
• Working with data in the Databricks environment.
Requirements
• Minimum 3 years of experience as a Data Scientist or Data Analyst
• Experience in the retail industry, preferably in the area of pricing, revenue management, or commercial analytics
• Practical knowledge of pricing analyses and indicators such as Price Index, Price Corridor, Price Ladder, or similar
• Experience in preparing business analyses and dashboards
• Very good knowledge of Excel
• Experience with BI tools (Power BI, Tableau, or similar)
• Ability to collaborate with businesses and translate requirements into analytical solutions
Nice to have
• Knowledge Python
• Experience with Databricks
• Experience with Generative AI or software development tools (e.g., GitHub Copilot)
• Experience building web dashboards or analytical applications
What we offer
• Modern technology stack and openness to implementing new solutions
• Participation in diverse and technologically advanced analytical projects
• Private healthcare and sports card
• Flexible working hours and the possibility of 100% remote work
• Team building events and unforgettable company events
🔍 Dekoder Ogłoszenia
🔴
Participating in the development and automation of analytical solutions using modern AI tools
Prawdopodobnie będziesz głównie wdrażać gotowe rozwiązania AI, a nie tworzyć je od podstaw.
🟡
Collaborating with business experts and Data & Analytics teams on the development of analytical products
Oznacza to częste spotkania i konieczność tłumaczenia skomplikowanych analiz na język biznesowy.
🔴
Very good knowledge of Excel
Może oznaczać, że mimo posiadania narzędzi BI, duża część pracy nadal będzie wykonywana w Excelu.
🟡
Experience with Generative AI or software development tools (e.g., GitHub Copilot)
Jest to opcjonalne, ale może sugerować, że firma dopiero zaczyna eksplorować te technologie i nie ma jeszcze ugruntowanych procesów.
🟡
Working with data in the Databricks environment.
Choć wymienione w wymaganiach, doświadczenie z Databricks jest w sekcji 'Nice to have', co sugeruje, że nie jest to kluczowe.