About this work area
The Digital & Expansion team sets the digital direction, ensuring IKEA leads in a fast‐changing world. The team develops and delivers brilliant digital products and services, using smart technology and agile methods to bring ideas to life, quickly and thoughtfully. It is a home for digital talent, growing skills and knowledge to keep our digital capabilities strong and ready for the future. Together, we build a brighter, more accessible digital experience for IKEA and our customers.
Responsibilities
* Champions data‐driven decision‐making promoting and ensuring the use of insights to significantly improve business performance.
* Conducts advanced data exploration and analysis leveraging modern data mining techniques and visualisation tools to deliver actionable insights for stakeholders.
* Evaluates and integrates diverse data sources, assessing both internal and external structured data for product analytics and strategic decision‐making.
* Write demanding SQL queries that extract, transform and load data from storage to an appropriate format.
* Translate data into compelling narratives collaborating cross‐functionally to ensure data solutions meet business needs and continuously generate value.
Qualifications
You have a strong foundation in data analysis, encompassing data mining techniques, modern visualisation software (e.g. PowerBI), and expertise in SQL and scripting languages like Python for sharing insights. Your knowledge extends to probability, statistics (including A/B testing), and an understanding of leveraging large datasets for improved business decision‐making. You thrive in cross‐disciplinary environments, balancing speed with rigor, and possess excellent communication skills for compelling data storytelling to diverse audiences. Crucially, you understand the complexity of the IKEA business and the integrated role of data & analytics within it.
* Formal qualifications (BSc, MSc, PhD) in economics, engineering, natural sciences, computer science, statistics or mathematics or an equivalent field.
* A minimum of 2 years of professional experience as a Business Analyst, (Junior) Data/Web Analyst, or (Junior) Data Scientist.
* Good knowledge of data processing for large datasets.
* Preferred familiarity with cloud computing environments, such as Amazon Web Services or Google Cloud Platform.
* Preferred experience with digital product development in a retail setting.
Additional information
* Permanent, full‐time, 76hrs/fortnight.
* The location for the role is Service Office, Tempe NSW, with a minimum of 3 days a week on‐site.
* Upon successful selection, employee will be required to obtain a national police check.
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