Save Job Back to Search Job Description Summary Similar JobsRegional Exposure Across SEADrive AI Analytics TransformationAbout Our ClientOur client is a fast-growing regional e-commerce and digital solutions provider, supporting leading international brands in expanding and managing their digital commerce operations across Southeast Asia.The business offers end-to-end e-commerce management, marketplace operations, social commerce solutions, digital marketing and data-driven market intelligence. With a strong in-house technology and analytics capability, the organisation partners with major online marketplaces and social commerce platforms to help brands optimise their digital business performance.As the business continues to scale, it is investing in its data capabilities and AI-driven transformation to enhance operational efficiency, financial visibility and decision-making across the region.Job DescriptionThis is a hybrid Business Analyst and Data Analyst role, acting as the key subject-matter expert for e-commerce operations and financial analytics across six Southeast Asian markets.You will work closely with regional Operations and Finance stakeholders to understand business challenges, translate requirements into analytical solutions, and independently perform SQL analysis, dashboard development and data reconciliation. You will also collaborate with the central Data Engineering and BI teams to improve data quality, reporting infrastructure and analytical capabilities.Key responsibilities include:1. Business Analysis & Requirements GatheringLead discussions and workshops with Operations and Finance stakeholders to understand business needs and identify analytical opportunities.Translate complex business questions into structured data requirements and actionable analytical solutions.Map data flows across internal e-commerce platforms, financial data warehouses and external marketplace sources.Manage and prioritise the analytics requirements backlog, coordinating with regional Data Engineering and BI teams.2. Data Analysis & Business IntelligenceOwn end-to-end analytics covering SKU/category performance, pricing and promotions, marketplace P&L, fulfilment and returns.Write SQL queries and independently build, validate and maintain dashboards using tools such as Power BI, Looker or Apache Superset.Analyse and reconcile operational metrics against financial reporting to identify discrepancies and data quality issues.Leverage third-party market intelligence and digital shelf data to provide competitive and category-level insights.3. Stakeholder Management & Business InsightsPresent analytical findings and recommendations directly to country-level Operations and Finance leaders, as well as regional management.Proactively identify business trends, performance gaps and financial discrepancies rather than simply responding to reporting requests.Bridge communication between business stakeholders, Finance teams and technical/data engineering functions.Represent the Operations and Finance domain in discussions around the regional data and analytics roadmap.4. Data Governance & Process ImprovementMaintain consistent definitions of key business and financial metrics, including GMV, net revenue and category margins.Document data reconciliation methodologies and reporting standards across different markets.Identify recurring data quality issues and work with relevant teams to improve data accuracy and governance.Contribute to the transition towards more reliable, automated and scalable data pipelines.5. AI-Driven Analytics & AutomationLeverage Generative AI tools to improve analytical workflows, from SQL development and data analysis to automated reporting and insight generation.Explore and prototype AI-assisted solutions for anomaly detection, pricing and margin monitoring, financial reconciliation and automated alerts.Experiment with AI agents and workflow automation tools to move reporting from reactive dashboard requests towards proactive, continuous business insights.Partner with central Data Engineering teams to scale successful AI-driven analytics initiatives across the organisation.The Successful ApplicantTechnical & Data CapabilitiesHands-on SQL experience and strong dashboarding skills using Power BI, Looker, Apache Superset or similar BI tools.Good understanding of e-commerce operational data, including SKU/category management, pricing, promotions, fulfilment and returns.Working knowledge of financial reporting and reconciliation concepts, such as GMV, net revenue, margins and accruals.Experience working with multiple data sources, financial data warehouses and third-party market intelligence datasets.Practical experience using Generative AI tools such as ChatGPT, Claude or Gemini for analytical work, SQL development, data interpretation and reporting.Exposure to AI agents or workflow automation platforms such as n8n is a strong advantage.Business Analysis & Stakeholder ManagementStrong understanding of e-commerce marketplace operations and the relationship between operational performance and financial outcomes.Proven ability to gather business requirements, challenge existing processes and translate business needs into technical solutions.Excellent communication and stakeholder management skills, with the ability to work across Business, Finance and Technology teams.Comfortable working independently and managing multiple stakeholders across different countries and time zones.ExperienceApproximately 4-6 years of experience across Business Analysis, Data Analytics, E-commerce Operations Analytics or Finance Analytics.Previous experience in e-commerce, marketplace businesses or digital commerce environments is highly preferred.Exposure to Southeast Asian markets and regional stakeholder management is an advantage.Experience in financial reconciliation, data quality improvement or AI-assisted analytics projects will be highly regarded.What's on OfferRegional Business Exposure: Work closely with Operations and Finance leaders across six Southeast Asian markets.Ownership & Impact: Become the first dedicated Operations and Finance Analytics subject-matter expert, with the opportunity to shape the function regionally.AI & Innovation: Play an active role in transforming traditional reporting into AI-powered, proactive business intelligence.End-to-End Responsibility: Own the full analytical process, from business discovery and requirements gathering to SQL development, insights and recommendations.Technology-Driven Environment: Work with sophisticated e-commerce platforms, scalable data infrastructure and modern analytics technologies.Collaborative Culture: Join an entrepreneurial, international and fast-growing organisation with a strong emphasis on collaboration and continuous learning.Career Development: Access ongoing training, coaching and opportunities to contribute to regional technology and business transformation initiatives.Competitive Compensation & Benefits: Attractive remuneration package, comprehensive insurance and generous leave entitlements.ContactDaniel NguyenQuote job refJN-102026-7137355Job summaryFunctionDigitalSpecialisationEcommerceWhat is your area of specialisation?Technology & TelecomsLocationHo Chi Minh CityContract TypePermanentConsultant nameDaniel NguyenJob ReferenceJN-102026-7137355
