Job Description

Business Intelligence & Insight Development

• Act as a Business Intelligence partner for internal teams and selected clients.
• Translate business and marketing questions into data analysis and insight frameworks.
• Build and maintain Insight Databases (Insight DB) that support decision-making across departments.
• Deliver dashboards and reports that go beyond numbers to explain what happened, why it happened, and what should be done next.

Business Operation & ERP Understanding

• Understand and analyze ERP and internal operational data (finance, revenue, cost, project, performance).
• Connect ERP data with marketing and sales data to provide end-to-end business visibility.
• Identify operational inefficiencies, profitability gaps, and performance risks through data analysis.
• Propose data-backed recommendations to improve company operations and resource utilization.

Digital Marketing Data & Client Insight

• Deeply understand digital marketing platforms and metrics: Google Ads, Facebook/Meta, TikTok, and other paid media channels.
• Analyze marketing performance across channels, funnels, and customer journeys.
• Build marketing insight dashboards and analysis for internal teams and clients.
• Provide actionable recommendations to optimize campaign performance, budget allocation, and ROI.

Data Modeling, Analytics & Data Quality

• Design and maintain data models and metric definitions aligned with business and marketing logic.
• Work with Tech/Data team to integrate data from multiple sources (ERP, Ads platforms, CRM, third-party tools).
• Ensure data quality, consistency, and usability across reports and dashboards.
• Perform data profiling and anomaly detection to proactively identify data issues.

Advanced Analytics & Forecasting (Collaboration Scope)

• Collaborate with Data Scientists to define business problems, analytical hypotheses, and success metrics for advanced analytics and forecasting use cases.
• Provide business context, domain knowledge, and data understanding to support model development and feature selection.
• Participate in exploratory analysis and result validation to ensure analytical outputs align with real business and marketing logic.
• Interpret and translate model outputs into actionable business and marketing insights for internal teams and clients.
• Work with stakeholders to apply forecasting and predictive insights into planning, budgeting, and optimization decisions.
• Support the continuous improvement of analytics use cases by providing feedback on model effectiveness and business impact.

Stakeholder Collaboration & Communication

• Work closely with Marketing, Account, Finance, and Operation teams to understand their needs and challenges.
• Present insights in clear, business-oriented language to non-technical stakeholders.
• Support internal users and clients by addressing data-related questions and analysis requests.
• Contribute to building a data-driven culture within the organization.