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Data analyst

Sydney
IKEA
Posted: 6 June
Offer description

Overview

Are you driven by the power of data to shape strategic direction and enhance experiences? As the Country Data Analyst for IKEA Australia & New Zea land, you will be instrumental in translating complex data into clear, actionable insights that directly inform business decisions. The Digital & Expansion team sets the digital direction, ensuring IKEA leads in a fast‐changing world. The Digital & Expansion team develops and delivers brilliant digital products and services, using smart technology and agile methods to bring ideas to life, quickly and thoughtfully. 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
* 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.
* 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.
* Knowledge extends to probability, statistics (including A/B testing), and an understanding of leveraging large datasets for improved business decision‐making.
* Thrives in cross-disciplinary environments, balancing speed with rigor, and possesses excellent communication skills for compelling data storytelling to diverse audiences.
Additional Information
* Permanent, full‐time, 76hrs/fortnight.
* Location: Service Office, Tempe NSW, with a minimum of 3 days a week on‐site.
* Required to obtain a national police check.
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