Data Analyst Intern

Candidate Description

A results-oriented Business and Data Analyst with over two years of professional experience translating complex datasets into actionable strategy across technology and engineering sectors. Through roles at a Technology Company and a Technology Provider, they have honed a robust blend of business acumen and technical depth, consistently aligning analytics solutions with stakeholder objectives. Equipped with an MSc in Predictive Analytics from Curtin University, this professional leverages advanced statistical modelling and visualisation to facilitate data-driven decision-making.

Their technical acumen is demonstrated through hands-on proficiency with Microsoft Azure, Azure Data Factory, SQL, Python and Power BI, enabling the design and deployment of scalable ETL pipelines processing hundreds of thousands of records. Adept at predictive modelling techniques such as Random Forest and Lasso, they have delivered projects encompassing infrastructure-risk prediction, AI-enhanced candidate screening and retail customer-journey optimisation. Key achievements include a 30 % reduction in processing time for cloud-based data pipelines and a 40 % decrease in manual HR effort through AI-driven workflow optimisation.

Combining strong stakeholder management with analytical rigour, this individual excels at bridging the gap between technical teams and business leaders. They thrive in collaborative, iterative environments, championing clear communication and data-driven insights that elevate operational efficiency and strategic planning. Their adaptable mindset and commitment to continuous improvement position them as a valuable contributor to organisations seeking to unlock value from data-centric initiatives.