Data Analyst
1 month ago
Data Analyst - Business Insights Professional
This role is a great opportunity to work with a leading retail business, where you will be responsible for analysing large datasets and driving data-driven decisions.
The successful candidate will have experience in data analysis, with a focus on forecasting models and statistical techniques. They will be able to collect, clean and transform complex data from various sources, identify trends and develop sophisticated forecasting models using machine learning algorithms.
The Data Analyst - Business Insights Professional will be at the forefront of our business operations, working closely with key stakeholders to drive data-informed decision-making and optimise our business processes.
We are looking for a talented individual who is passionate about data analysis and has excellent analytical and problem-solving skills. The ideal candidate will have experience with Python, SQL and data visualisation tools, as well as strong communication and presentation skills.
Key Responsibilities:- Develop and maintain advanced forecasting models using statistical and machine learning techniques.
- Analyse large datasets to identify trends and opportunities for improvement.
- Create compelling visualisations and dashboards to effectively communicate complex data and trends.
- Collaborate with cross-functional teams to drive data-informed decision-making and process improvements.
We are a leading retail business that operates across Australia, with a portfolio of iconic brands including Anaconda, Spotlight and Mountain Designs. We are committed to delivering exceptional customer experiences and driving growth through innovative retail strategies.
We offer a dynamic and supportive work environment, with opportunities for career growth and professional development. Our team members enjoy access to exclusive benefits, including discounts across all brands, employee assistance programs and gym membership discounts. If you are a motivated and results-driven individual who is passionate about data analysis, we would love to hear from you
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