Business Intelligence Lead - SPX Express

5-7 Years

Job Description

Job Description

Team Leadership & Strategic Alignment:

Lead, mentor, and upskilled a cross-functional team of BI Analysts, fostering a culture of data fluency and commercial acumen.
Build the analytics frameworks and standard KPIs that make the link between operational logistics performance, delivery speed and bottom-line P&L impact explicit and measurable

Advanced Data Engineering & BI Solutions

Partner closely with Operations to deliver high-impact analysis and initiatives that improve delivery speed and drive cost efficiency across the SPX network
Oversee and guarantee the absolute stability of core business data pipelines/workflows, ensuring daily dashboards refresh on time and maintain 99% data accuracy between upstream operational data sources and downstream reporting layers.
Maintain automated data pipelines for business KPI and incentive calculations with a strict maximum 1% error rate.
Champion the digital transformation of the function by deprecating manual Excel/Google Sheet tracking and fully migrating legacy workflows into automated, scalable BI dashboards/reports.
Direct the development of advanced data products, optimization algorithms and anomaly-detection views to improve business efficiency and profitability.
As the business evolves, you will have the opportunity to take on new workstreams and expand your scope across the BI and PnL control landscape.

Requirements

Bachelor's or Master's Degree in Finance, Economics, Computer Science, Statistics, Mathematics, or other related quantitative courses .
5+ years of industry experience in Commercial Finance, Financial Controlling, Business Intelligence, or Data Analytics, with at least 2 years in a dedicated team leadership/management role.
Strong preference for candidates with a solid understanding of unit economics, logistics P&L, supply chain, or e-commerce operations.
Advanced SQL proficiency is compulsory; hands-on experience handling raw cost data and building complex financial/simulation models.
Proven experience in directing data pipeline automation, dashboard development, and setting up anomaly detection or optimization algorithms
Exceptional analytical thinking, professional confidence to challenge operational assumptions, and excellent written/verbal communication skills in both English and Vietnamese to present data effectively to executive leadership.
A hands-on leader with a strong execution can-do attitude, open to performing site/hub visits to verify assumptions when needed