[Việc làm thời AI] Business Intelligence Assistant Manager
Published on: March 27, 2026
Last updated: March 30, 2026 Xem trên toàn màn hình
Last updated: March 30, 2026 Xem trên toàn màn hình
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Job description
The Business Intelligence Assistant Manager focuses on bridging the gap between raw data and executive execution. You will lead a specialized team to build the company’s data infrastructure, ensuring that every department, from Marketing to Commercial, operates from a Single Source of Truth. Your mission is to move the organization beyond "viewing" data to "acting" on it, providing the clarity needed to scale profitable operations and halt underperforming ones instantly.
- KEY RESPONSIBILITIES
1. Team Leadership & Management
- Workflow Oversight: Assign and prioritize tasks related to dashboard creation, data cleaning, and ad-hoc analysis to meet the fast-paced needs of the Affiliate and Marketing teams.
- Quality Control: Review the work of the team to ensure 100% data accuracy and adherence to the "10-second rule" for dashboard clarity.
2. Data Governance & Standardization
- The Single Source of Truth: Architect and maintain a unified data environment where all teams (Affiliate, Marketing, Commercial, Marketing Operation) use the same metrics and logic.
- Metric Logic: Define and document the standardized calculation logic and "Source of Record" for all core business KPIs to prevent departmental conflicts.
- Data Hygiene: Lead initiatives to clean and normalize fragmented data from various sources (API, CRM, Manual logs) into a structured format.
3. Strategic Insight & Decision Support
- Actionable Dashboards: Design and oversee the deployment of high-level dashboards that answer critical business questions: Scale, Hold, or Stop?.
- Root Cause Analysis: Conduct deep-dive analyses to identify why certain campaigns or products are underperforming and provide data-backed recommendations for improvement.
- Forecasting & Scenarios: Partner with Business Owners to build predictive models and scenario-based forecasts to mitigate risk.
4. Cross-Functional Optimization
- Affiliate & Commercial Support: Analyze ROI per offer, optimize publisher payouts, and evaluate the performance of in-house vs. e-commerce products.
- Marketing Efficiency: Track and recommend adjustments for publisher acquisition and retention campaigns.
- Marketing Operation Alignment: Support the Marketing Operation team in detecting overall performance anomalies and making rapid adjustments.
Your skills and experience
- Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, Economics, or a related quantitative field.
- Minimum of 5+ years in Data Analytics or Business Intelligence with at least 1–2 years of experience in a Team Lead or Supervisory role
- Prior experience in Affiliate Marketing, AdTech, or E-commerce is highly preferred
- Advanced proficiency in SQL (PostgreSQL, BigQuery, or MySQL)
- Expert-level skills in Power BI, Tableau, or Looker
- Strong understanding of data warehousing concepts, ETL processes.
- Proficiency in Excel (Power Query/VBA) is required; experience with Python or R for predictive modeling and statistical analysis is a significant advantage
- English proficiency is required
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