Champion a Data-First Culture through Upskilling: You will organize regular workshops to elevate the data literacy of our brand marketing teams. This involves coordinating the agenda, briefing internal and external speakers, and presenting your own analyses on O+O campaign effectiveness, competitor best practices, and emerging trends.
Develop and implement data visualization dashboards and reports to communicate key findings and recommendations to both technical and non-technical audiences.
Support implementation and optimization of quality screening methodologies including PAT, Statistical Bin Limits (SBL), dynamic guard-banding, clustering, and test escape prevention.
Build Financial & Business Acumen - Level 2 - Looks to increase financial and business understanding to draw accurate insights and use information as a strategic tool.
Drive large, complex customer engagements across pre-sales and delivery from ideation, through architecture design and scoping, all the way to closure and into delivery
As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT. The Research Fellow / Research Engineer will support a research project focused on the development of data-driven modelling, optimisation, and decision-support tools for food and nutrition systems. The successful candidate will work closely with the Principal Investigator on research activities involving data analytics, computational modelling, machine learning, and optimisation. The role offers opportunities to contribute to research publications, technical development, and industry-relevant project outcomes in the areas of food sustainability, nutrition, and supply chain decision-making.
Support the development of AI-enabled products from concept through delivery, with a focus on quality, usability, scalability, and responsible implementation
Market & Industry Research: analyse data from external sources, industry reports, and market publications to generate insights from both structured and unstructured data
Carry out both reactive and proactive data analysis of large datasets using a wide range of technologies, database management systems, business information reporting and visualisation software
End-to-End Visual Analytics: Gain hands-on experience in data extraction, data cleaning, and structuring clear executive dashboards for decision-making.