Deskripsi Pekerjaan
Are you a data-driven professional with a passion for logistics and supply chain optimization? Shopee, the leading e-commerce platform in Southeast Asia, is looking for a skilled Business Intelligence Analyst to join our SPX Express team in Mandaluyong. In this pivotal role, you will act as the bridge between raw operational data and actionable business insights.
You will play a crucial role in enhancing our delivery operations by developing robust SQL queries, automating data reporting pipelines, and creating intuitive dashboards that guide leadership in decision-making. If you thrive in a fast-paced environment and are eager to impact the logistics landscape of the Philippines, we want to hear from you.
Tanggung Jawab
- Design, write, and optimize complex SQL queries to extract, clean, and transform data from large-scale datasets.
- Develop and maintain automated dashboards (Tableau/Power BI) to provide real-time visibility into SPX Express performance metrics.
- Conduct deep-dive analyses to identify operational bottlenecks and suggest process improvements to reduce delivery latency.
- Collaborate with cross-functional teams, including Engineering, Operations, and Product, to define data requirements for new business initiatives.
- Monitor data integrity and implement quality control measures for all reporting outputs.
- Prepare regular performance presentations for management highlighting key trends, risks, and opportunities.
- Automate manual reporting tasks to increase team efficiency and accuracy.
Kualifikasi
- Bachelor’s degree in Computer Science, Mathematics, Statistics, Engineering, or a related quantitative field.
- Minimum of 2-4 years of professional experience in a Business Intelligence, Data Analysis, or Data Engineering role.
- Advanced proficiency in SQL (writing complex joins, window functions, and stored procedures).
- Hands-on experience with visualization tools such as Tableau, Power BI, or Looker.
- Strong problem-solving skills with a logical approach to operational challenges.
- Excellent communication skills with the ability to translate complex data findings into simple business recommendations.
- Experience in logistics, supply chain, or e-commerce industries is highly preferred.
- Proficiency in Python or R for data manipulation is a significant plus.