Job Description

Business Intelligence & Decision Support

• Act as a business intelligence partner for internal teams and clients, not only a reporting role.

• Understand company strategy, operational workflows, and business goals to translate them into data-driven insights.

• Build and maintain Insight Databases (Insight DB) that help management and teams:

• Understand what is happening

• Identify why it is happening

• Decide what to do next

• Deliver dashboards, analysis, and insight reports that directly support business and marketing decisions.

Business Operation & ERP Understanding

• Deeply understand ERP and internal operational workflows (finance, revenue, cost, project, performance).

• Connect ERP data with marketing, sales, and operational data to create end-to-end business visibility.

• Analyze operational efficiency, profitability, and performance bottlenecks.

• Provide data-backed recommendations to improve company operations and resource allocation.

Digital Marketing Domain & Client Insight

• Master digital marketing operations and metrics across platforms:

• Google Ads, Facebook/Meta, TikTok, and other paid media channels.

• Build marketing insight databases for internal teams and clients:

• Campaign & funnel performance

• Budget efficiency & ROI

• Audience behavior & conversion patterns

• Analyze marketing performance to identify growth opportunities, inefficiencies, and risks.

• Provide actionable recommendations to help clients optimize marketing strategies and execution.

Data Modeling, Analytics & Enablement

• Design and maintain data models and metric definitions aligned with business and marketing logic.

• Work with the Tech/Data team to integrate data from multiple sources (ERP, Ads platforms, CRM, third-party tools).

• Ensure data quality, consistency, and usability across the organization.

• Perform data profiling and anomaly detection to proactively identify issues.

Advanced Analytics, Forecasting & Recommendation

• Apply advanced analytics, statistical models, and machine learning to:

• Forecast business and marketing performance.

• Predict trends, risks, and opportunities.

• Generate recommendations (budget allocation, campaign optimization, performance improvement).

• Continuously evaluate and apply new methodologies to improve insight accuracy and business impact.

Consulting Mindset & Stakeholder Collaboration

• Work closely with Leadership, Marketing, Account, Finance, and Operation teams to:

• Understand their challenges and decision-making needs.

• Translate complex data into clear business insights and recommendations.

• Support internal users and clients by explaining insights in business-oriented language, not technical jargon.

• Act as a data consultant who challenges assumptions and proposes better ways of working.