Work closely with large datasets to build data visualisation and dashboards that inform strategic planning and sound business decisions
Understand functional and technical requirements to build reports that deliver actionable insights to key stakeholders
Assist the team to build and maintain data infrastructure (data pipelines, aggregated data sets, reports, dashboards) to facilitate development of key metrics to measure efficiency/impact/outcomes of day-to-day operations
Work closely with internal stakeholders from cross-functional and product teams across multiple markets to build, test, and implement new processes and systems
Requirements:
Currently pursuing bachelor's degree, preferably in a quantitative subject such as Business Analytics, Statistics, Engineering, Mathematics, or Computer Science
Proficiency in SQL/Python is a must
Experience with big data tools (e.g. Hadoop, Hive SQL, Spark), ETL tools, data visualisation tools (e.g. Tableau, Looker) and statistical analysis (e.g. hypothesis testing, regression, data modelling techniques) preferred
Ability to thrive in a dynamic and collaborative environment
Full-time interns preferred (3-6 months)
Students who can commit part-time, minimally 3 working days a week, are also welcome to apply
