Business Analytics Lead - Shopee COO Office

Team Description:

The Shopee COO Office drives business growth and efficiency by identifying improvement opportunities, tracking key metrics and implementing initiatives to boost commercial performance. Through analysis, benchmarking and industry research, they refine strategies, optimise processes, track performance and collaborate with local markets in Asia to improve performance and drive proactive growth strategies.

Job Description:

We are seeking a highly skilled and motivated individual to join our team as Business Analytics Lead. The Business Analytics Lead will oversee data analysis, reporting, and visualisation efforts, working closely with cross-functional teams to deliver actionable insights and influence decision-making.

In this role, you will:

• Lead and manage a team to effectively achieve outcomes, and build a high-performing and motivated team
• Design, oversee and evaluate critical business metrics to drive business improvements through actionable insights
• Lead digital transformation initiatives and promote a data-driven working culture
• Build data-driven solutions to address business challenges, leveraging multidisciplinary problem-solving approaches
• Drive the creation, maintenance and optimisation of reporting tools and dashboards, and use complex data analysis techniques to identify trends, provide insights, and deliver strategic recommendations to stakeholders
• Communicate insights effectively by translating complex data analysis into clear and compelling narratives for both technical and non-technical audiences
• Collaborate with stakeholders to translate their data needs into actionable analytics projects

Requirements:

• Bachelor’s Degree and above in any related field
• 3-6 years of experience in Business Intelligence/Data Analytics in tech/e-commerce or dynamic environment is preferred
• Strong technical skills in Python and SQL
• Experience in managing a team of 3-5 members preferred, including assigning them tasks, managing timelines, quality of output and their performance
• Passionate about data and solving challenging business problems
• Proficiency in VBA/Spark is a plus