Data Analyst - Interim
Copenhagen V, DK
Data Analyst, Retail - Interim
Do you have a keen eye for detail and a structured approach to your work? Are you looking for the opportunity to leverage your strong analytical skillset and work with data that affect business decisions? And, do you want to work alongside can-do spirited people who are striving for excellence? Then, keep on reading!
About the Role
We’re looking for a Retail Data Analyst to join us on an interim contract until December 2025. As our new colleague, you will be collaborating with the other team members (Data Engineers, Data Scientists, etc.) and providing feedback on the data pipelines. You will be working with management to prioritize business and information needs, while also locating and defining new process improvement opportunities. You will have the ability to build a larger business narrative around data, and communicate the insights derived to a broader array of business stakeholders.
Additionally, the role responsibilities will include:
- Acting as the face of the product team with business stakeholders as needed.
- Creating and maintaining the logic and processes to support trustworthy and efficient consumption of business data.
- Developing and implementing databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality.
- Investigating data sources across enterprise, and expanding existing search data infrastructure, identifying opportunities to expand modelling and customer obsession efforts.
- Filtering and cleaning data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems.
- Identifying, developing, managing, and executing analyses to uncover areas of opportunity and present written business recommendations that will help grow the search business internally and for partners worldwide.
- Identifying opportunities for developing new data sources and providing technical leadership around making those data sources high quality and broadly available.
In order to succeed:
You are a strong team player who likes to take ownership and has a results-driven approach. You strive for excellence and are focused on delivering results with high standards. You are comfortable giving definition to ambiguous problems, and you enjoy working independently with limited guidance. You’re able to build a story around the data and convey the findings of the analysis to several business and non-business stakeholders.
In addition, we hope that you have and can demonstrate:
- 1-3+ years of professional experience in data modelling and advanced business analytics, with 2+ years of SQL and experience with efficient processing of large data sets.
- Bachelor’s (or relevant work experience) in a quantitative discipline like Computer science, Statistics, Mathematics, Engineering etc.
- Proficiency in big data analytics tools (R, Python etc.) and standard analytics packages like SPSS.
- Strong analytical skills with the ability to collect, organize, analyse, and disseminate significant amounts of information with attention to detail and accuracy.
- Excellent verbal and written communication & data presentation skills, including experience to effectively communicate with both business and technical teams.
- Experience in data mining (SQL, ETL, data warehouse, etc.) and using databases in a business environment with big data technologies and large-scale, complex datasets.
- Experience in designing and building data infrastructure/automated reporting tools.
- Experience in advanced business/customer analytics.
Did we get your attention?
We hope you got all your questions answered and feel confident applying for this position, however if you have more questions regarding the position, please contact:
Kelly Kavarnou
Global Tech Recruiter
kekav@pandora.net
If you see yourself in the position and would like to become a part of Pandora’s future, please do not hesitate to apply. We are an international team, so please make sure to send us your application in English to be considered. We look forward to hearing from you! We process applications on a continuous basis, which is why we encourage you to send your application as soon as possible. You can also read more about Pandora on our corporate site www.pandoragroup.com.
Icing on the cake
You will be working out of our beautiful Digital & Technology Hub in Copenhagen, rapidly growing environment of highly skilled and experienced colleagues. Which is a key initiative that goes along with Pandora’s experience & ambitions.
You will also be able to take part in creating eco-friendly environment – that we are not only talking about – but implementing. The result is a professional and dynamic environment that is unique, enjoyable and inspirational – and delivers a true Pandora experience to anyone who works here.
About Pandora
Pandora is the world's largest jewellery brand, specialising in the design, crafting and marketing of accessible luxury jewellery made from high-quality materials. Each piece is created to inspire self-expression, allowing people to share their stories and passions through meaningful jewellery. Pandora jewellery is sold in more than 100 countries through 6,800 points of sale, including more than 2,700 concept stores.
Headquartered in Copenhagen, Denmark, Pandora employs 37,000 people worldwide and crafts its jewellery using only recycled silver and gold. Pandora is committed to leadership in sustainability and has set out to halve greenhouse gas emissions across its value chain by 2030. Pandora is listed on the Nasdaq Copenhagen stock exchange and generated revenue of DKK 31.7 billion (EUR 4.2 billion) in 2024.
At Pandora, we believe that creating an inclusive and diverse workplace and reflecting societal diversity in our customer engagement is essential to delivering on our company purpose: to give a voice to people’s loves. We dedicate ourselves to fostering, cultivating and preserving a culture of inclusion and diversity where everyone feels respected and valued.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Big Data Business Analytics Computer Science Data Analytics Data Mining Data pipelines Data warehouse Engineering ETL Mathematics .NET Pipelines Python R SPSS SQL Statistics
Perks/benefits: Career development
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