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Data Analyst Europe
Job in
Central, East Baton Rouge Parish, Louisiana, USA
Listed on 2026-06-26
Listing for:
Zoolatech
Full Time
position Listed on 2026-06-26
Job specializations:
-
IT/Tech
Data Analyst, Business Systems/ Tech Analyst
Job Description & How to Apply Below
Location: Central
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 have an exciting opportunity for you! You will be part of Pandora Marketing Analytics teams and work in an international organisation 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 business value.
Responsibilities- Formulate and define scope and objectives based on a thorough understanding of business needs and business processes.
- Understand the business implications of advanced analytics solutions and assist in defining the solutions to support any future business requirements.
- Execute advanced analytics projects and provide ad‑hoc analyses to the business as needed.
- Design, drive, and implement analytics tools and ad‑hoc analyses. Engage with users to understand & meet their analytics requirements.
- Ensure timely delivery of reports/analysis and proactively communicate delays/issues.
- Ensure data accuracy in each deliverable.
- Provide support for business continuity of deliverables/analyses, and drive the usage and adoption of our new self‑service analytical tool.
- 3–5 years of relevant experience
- Proficiency in data visualizations and dashboards
- Strong analytical skills
- Proficiency in querying and manipulating complex raw datasets for analysis
- Experience explaining technical concepts to varied audiences and translating business objectives into actionable analyses, with a focus on design thinking and user‑centric design
- Sound knowledge & experience in business communication/presentation skills and reporting
- BS Degree in Business, Economics, Statistics, Mathematics, Applied Mathematics, Information Technology, Finance or similar
- Passion for data science & AI, & having Python or PySpark skills is a plus
- Fluent English both spoken and written
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