Data Analytics Assistant Manager

1. Data Centralization, Governance & Automation

• Own the centralized E-commerce & Digital data model, integrating marketplace, media, affiliate, livestream, customer, product, inventory, finance, and internal sales sources into one governed reporting environment.

• Define and maintain KPI definitions, source mapping, transformation rules, data lineage, access controls, reporting templates, and dashboard logic to establish a trusted single source of truth.

• Establish data-quality controls, reconciliation routines, and issue-resolution processes to improve accuracy, completeness, consistency, and timeliness across internal and external data.

• Partner with IT, Finance, business owners, platforms, and external service providers to translate business needs into scalable data pipelines, dashboards, and reporting solutions aligned with security and governance standards.

• Automate recurring data extraction, transformation, validation, reporting, and distribution to reduce manual effort, speed up decision-making, and improve reliability.

2. Performance Analytics, Insights & Planning

• Develop and continuously improve integrated dashboards and scorecards covering sales, traffic, conversion, media efficiency, affiliate, livestream, customer, product, inventory, profitability, and digital-shelf performance.

• Analyze performance by brand, SKU, platform, campaign, channel, funnel stage, and customer segment to identify growth drivers, underperformance, risks, opportunities, and root causes.

• Provide early-warning signals on sales, traffic, conversion, media efficiency, stock, margin, and execution gaps, with clear recommended actions and owners.

3. Decision Support & Business Partnering

• Own the reporting calendar and deliver concise daily, weekly, monthly, campaign, and ad hoc performance views tailored to operational teams and leadership.

• Create executive dashboards, business-review packs, and insight narratives that highlight what changed, why it changed, business impact, risks, and required decisions.

• Partner with E-commerce and cross function team, and external teams to clarify analytical questions, challenge assumptions, and convert insights into prioritized actions.

• Track agreed actions and measured outcomes from business reviews, ensuring insights translate into execution and continuous performance improvement.

• Bachelor'

Yêu cầu công việc

• Bachelor's Degree in Analytics, Data Science, Business, Finance, Statistics, Information Systems, or a related field.

• 4–6 years of experience in Analytics, Business Intelligence, Commercial Excellence, E-commerce Analytics, or related roles, including ownership of cross-functional reporting or dashboard programs.

• Advanced Excel and strong Power BI or Looker Studio capability, including data modelling, dashboard design, visualization, and user adoption.

• Working knowledge of SQL, data integration, quality controls, and automation is an advantage.

• Strong command of E-commerce and Digital metrics across sales, funnels, media.

• Strong business acumen and structured problem-solving, with the ability to connect data to commercial implications and practical actions.

• Strong stakeholder and vendor management, requirements gathering, project coordination, and executive storytelling skills.

• Experience in FMCG, e-commerce, digital commerce, marketplaces, or consumer products is preferred.

Quyền lợi

• Thưởng: Allowance Bonus
• Chăm sóc sức khoẻ: Healthcare Plan
• Đào tạo: Training
• Máy tính xách tay: Laptop
• Khác: Others