About The TeamShopee’s Regional Operations constantly solving problems and introducing innovative solutions to improve platform usability and enhance end user experience for our buyers, sellers, and partners. Our teams sit at the core of our business and collaborate with various departments to manage end-to-end e-commerce processes, and design scalable solutions to create impact across multiple markets. To do so, we deep dive into the fundamentals of each aspect and drive strategic initiatives to sharpen our policy, processes and features for greater product and operational excellence.
Job DescriptionOur Business Intelligence Data Analysts go beyond performance monitoring and report - they play a crucial role in conducting in-depth data-powered analysis and research that drive key business decisions across Regional Operations. We’re looking for a hands-on, motivated individual who enjoys complex problem-solving and deriving data-backed solutions to help drive high-impact business changes.
Work closely with large datasets to build data visualisation and dashboards that inform strategic planning and sound business decisionsUnderstand functional and technical requirements to build reports that deliver actionable insights to key stakeholdersBuild 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 operationsConduct research and synthesise findings into plans, processes, and playbooks that are clear and lead to actionable insightsWork closely with internal stakeholders from cross-functional and product teams across multiple markets to build, test, and implement new processes and systemsDrive adoption of the team’s initiatives through strong collaboration and alignment of organisational needs with various stakeholdersRequirementsBachelor’s degree in Business Analytics, Statistics, Engineering, Mathematics or Computer Science with 0-3 years experienceProficiency in SQL/PythonExperience 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 modeling techniques) preferredAbility to analyse and synthesise data from both quantitative and qualitative sourcesAbility to draw insights from data to to design practical and scalable solutionsAbility to explain technical concepts in a clear and succinct manner to various stakeholdersAbility to thrive in a dynamic and collaborative environment
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