Marketing AI & Data Analytics Architect

Samsung; Singapore; On-site; SGD 60,000 - 120,000; Full time

Job summary

Samsung SEAO is seeking a data analytics professional to transform large-scale consumer data into actionable insights across smartphone and consumer electronics categories. You will build BI, AI, and ML solutions, automate end-to-end analytics, and partner with the Strategy team to accelerate decision-making.

You'll work with SQL, Python, and AI tooling on cloud platforms (GCP preferred) and own the end-to-end data analytics pipeline, driving continuous improvement and exposure to internal AI

Qualifications

• Bachelor's degree required; Master's in Analytics, Data Science, or AI is a plus.
• 2-5 years of experience in data analytics, data science, or applied AI, preferably in a consumer-facing company.
• Proactiveness: takes initiative on analysis, automation, and continuous improvement without waiting for direction.
• Curious and adaptive: stays current with emerging AI tools and puts them to practical use.
• Strong analytical thinking, data sensitivity, and ability to solve problems independently.

Responsibilities

• Analyze marketing and consumer data on Samsung's internal big data platform using SQL and Python.
• Joint analysis of multiple data sources to support Strategy team decisions.
• Generate audience segments to support targeting and campaign planning.
• Apply attribution and propensity analysis to understand consumer engagement patterns and purchase drivers.
• Identify high-potential audiences across eight SEAO markets.

Skills

AI tooling

Python

SQL

Cloud (GCP)

Stakeholder collaboration

Education

Bachelor's degree

Master's in Analytics/Data Science/AI (plus)

Tools

Python

SQL

GCP

AWS

Azure

Job description

Samsung SEAO is seeking a data analytics professional to transform large-scale consumer data into actionable insights across smartphone and consumer electronics categories. You will build BI, AI, and ML solutions, automate end-to-end analytics, and partner with the Strategy team to accelerate decision-making.

You'll work with SQL, Python, and AI tooling on cloud platforms (GCP preferred) and own the end-to-end data analytics pipeline, driving continuous improvement and exposure to internal AI