Data Analyst

at  Pandora Jewelry

As our Data Analyst you will assess and translate opportunities for data and analytics methods for assigned Use Case across BUs, provide consulting, advice, training, and support in data analytics, and build and introduce application or data products.

OUR PEOPLE

Our global workforce is made up of over 33,000 passionate people who, in 2023, helped Pandora record the highest earnings to date, led by a refreshed long-term growth strategy. The pace of our progress has created an energising, ambitious culture where we are empowered to be ourselves and equipped to deliver our very best.
As we continue to grow, we also continue to invest in our talent. We’re looking for people who share our values and can help us bring our ambitions to life.
If you are looking for a new challenge and feel you have the relevant skills then don’t miss out! Please click apply to submit your application.
Pandora’s recruitment procedures are designed to be transparent and clear for all candidates. This helps us ensure that applicants are provided with a fair and equal opportunity to demonstrate their competencies and skills by removing blocking factors, possible biases, and risks of discrimination. We encourage everyone applying to our vacancies to refrain from adding identity-related elements such as a photo, marital status and age.
*If you require reasonable adjustments in place during your interview(s), please make us aware as soon as possible

• Formulate and articulate data product strategy aligned with organizational objectives. Develop and manage a comprehensive product roadmap, outlining key features and releases
• Collaborate with cross-functional teams, fostering effective communication and alignment
• Play as a role of data advisory to key stakeholders to provide guidance, recommendations, & industrial knowledge on how to leverage data assets
• Activities include evaluation, analysis, documentation of business requirements, and translation into proper data analytics solution specifications
• Formulate and define scope and objectives based on a thorough understanding of business needs and business processes
• Lead delivery process by formulating and defining scope and objectives, coordinating with chapter teams (architecture, engineering, data science, platform etc), delivering results in agile way