Job Description:
What you will be doing:
Our 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 SPX.
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.
You will be exposed to a multitude of functional areas across Shopee as you work on pivotal initiatives to improve our logistics operations and experience, both with teams such as Data Science/ Engineering and Product. Additionally, you will also receive guidance, training and support to help you attain valuable skills and grow professionally in your career.
- 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
- 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
- Conduct research and synthesise findings into plans, processes, and playbooks that are clear and lead to actionable insights
- Work closely with internal stakeholders from cross-functional and product teams across multiple markets to build, test, and implement new processes and systems
- Drive adoption of the team's initiatives through strong collaboration and alignment of organisational needs with various stakeholders
Requirements:
- Bachelor's degree, preferably in a quantitative subject such as Business Analytics, Statistics, Engineering, Mathematics, or Computer Science
- Proficiency in SQL/Python preferred
- 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 modeling techniques) preferred
- Ability to analyse and synthesise data from both quantitative and qualitative sources
- Ability to draw insights from data to to design practical and scalable solutions
- Ability to explain technical concepts in a clear and succinct manner to various stakeholders
- Ability to thrive in a dynamic and collaborative environment
