Data Analyst

at  Pandora Jewelry

DATA ANALYST, PANDORA DIGITAL & TECHNOLOGY

Do you want to be a part of the world’s leading jewelry company while putting your experience in technology into use? If yes, then we might have an exciting opportunity for you! You will be part of an exciting digital & tech area and work in an international organization of can-do spirited, passionate, and performance-driven people. We value flexibility and informal working, where you are trusted to deliver and to focus on outcomes and value.
About the role:
We are seeking a detail-oriented and analytical Data Analyst to join our team. The ideal candidate will be responsible for ensuring the accuracy, consistency, and reliability of our organization’s data through comprehensive analysis and quality assurance processes. The data analyst is playing a key role in the Finance & Sustainability product line of the global Data & Analytics organization and will work closely with stakeholders in the finance and sustainability functions of Pandora.
You will contribute in building global Business Intelligence solutions and work in an international organization of can-do spirited, passionate, and performance-driven people. We value flexibility and informal working, where you are trusted to build, focus on outcomes, and value delivered.

ABOUT THE TEAM:

As part of our growing Data & Analytics footprint, we are looking for a Student Assistant to join our Product Management team in Pandora’s extended Data & Analytics community. Our team consists of Business Intelligence Product Owners and Data Analysts working together to transform data into actionable insights in an agile based organization. The team mainly works with Commercial and Finance data.

• To do analysis on PowerBI reports and Tabular data models – we are moving from an on-prem solution to a cloud-based Azure Platform.
• Perform data cleansing, validation, and analysis by using Excel or PowerBI. Knowledge about Microsoft Excel (PowerPivot, Pivot, Formulas and VBA) is a plus.
• Good SQL coding and general data base understanding.