직무 설명

This position focuses on turning complex business challenges into structured, data-backed solutions that improve commercial and operational outcomes.

Break down unclear business questions into analytical workstreams that can be solved systematically.
Perform exploratory analysis, driver analysis, funnel analysis, segmentation, forecasting, and hypothesis testing.
Generate practical insights that help increase revenue, lower costs, or strengthen customer and operational performance metrics.

Develop predictive, prescriptive, and causal models such as churn, RFM, attribution, promotions ROI/effectiveness, anomaly detection, and uplift modeling.
Create measurement frameworks, scorecards, and reusable tools that support decision-making across divisions.

Design scalable analytical assets that can be reused by multiple divisions with limited changes.
Bring consistency to logic, definitions, taxonomies, and measurement methods within the area of expertise.

Partner with divisional analytics teams in a hub-and-spoke setup to drive adoption of models, frameworks, and insights.
Provide deep support to one division while also enabling wider reuse across other divisions.
Collaborate with Product, Technology, Category, Supply Chain, Marketing, and Finance teams to identify pain points and shape analytics-led interventions.
Work with Data Engineering teams to define data availability needs and pipeline requirements.

Use advanced machine learning and AI techniques such as embeddings, causal inference, marketing mix modeling, recommendation insights, anomaly detection, and driver trees.
Support controlled experiments and help define strong A/B testing frameworks and best practices.

Decision and Business Analyst