Merchandise Insights Analyst in Adelaide

Merchandise Insights Analyst in Adelaide

Adelaide Full-Time 78750 - 96250 $ / year (est.) Hybrid
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At a Glance

  • Tasks: Analyse sales and margin data to drive retail category performance.
  • Company: Viva Energy Group, a leader in the retail energy sector.
  • Benefits: Flexible work options, competitive salary, and professional growth opportunities.
  • Other info: Join a dynamic team focused on innovation and excellence.
  • Why this job: Make a real impact by providing insights that shape retail strategies.
  • Qualifications: Strong analytical skills and a passion for data-driven decision-making.

The predicted salary is between 78750 - 96250 $ per year.

Viva Energy Group is seeking a commercially minded Merchandise Analyst to support category performance, reporting and decision-making across our retail network.

You will deliver actionable insights from sales, margin and supplier data to aid category planning and promotions across multiple brands.

You will provide analysis of performance, forecasting support for key initiatives, and reporting to stakeholders.

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Merchandise Insights Analyst in Adelaide employer: Viva Energy Australia

Viva Energy is an exceptional employer that prioritises the growth and development of its employees, offering a vibrant work culture where diversity and inclusion are celebrated. As part of a leading energy and convenience business, you will have the opportunity to engage in meaningful projects while being supported in your professional journey, all within a dynamic team environment. With a strong commitment to sustainability and innovation, working at Viva Energy not only allows you to contribute to Australia's energy transition but also empowers you to amplify your voice and make a real impact.

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Contact Details:

Viva Energy Australia Recruitment Team

We think you need these skills to ace Merchandise Insights Analyst in Adelaide

Data Analysis
Commercial Acumen
Reporting Skills
Forecasting
Stakeholder Management
Category Performance Analysis
Actionable Insights Generation