AI & Data Analytics Specialist

Position Summary

In this role, you will turn large-scale first-party consumer data into actionable insights that help drive continuous improvement in business metrics across Samsung smartphone and consumer electronics categories. You’ll build BI, AI, and ML solutions using vibe coding and automate the end-to-end data analytics pipeline using AI Agents or Workflows. You’ll partner closely with the Strategy team to deliver faster insights and support quicker decisions.

This role suits someone who is passionate about AI and eager to deepen practical data skills in a fast-moving environment. You’ll have room to experiment with new AI tools and take ownership in growing the team’s data & AI capabilities.

Role and Responsibilities

Marketing Data Analytics & Insights

• 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

AI Automation & Advanced Analytics

• Build structured datasets from unstructured data using AI
• Automate recurring analytics and reporting with AI workflows or agents
• Develop text and image classification models, with AI tooling to speed up development
• Build AI-generated dashboards that help non-technical stakeholders to visualize data insights
• Be an early adopter of internal AI tools, making full use of tools to speed up data analysis
• Maintain the end-to-end AI pipeline and deployments on Google Cloud Platform

Skills and Qualifications

Skills Requirement

• AI tooling: Experience deploying AI solutions, build workflows or agents
• Programming skills: Advanced SQL and Python; comfortable with command line
• Large-scale consumer data: Hands-on experience working with customer data at scale (millions of rows)
• Cloud: Working knowledge of GCP, AWS, or Azure - GCP preferred; able to debug and troubleshoot cloud issues independently
• Stakeholder Collaboration: Able to work with tech, marketing, product, and external agencies to deliver data projects on time

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
• Takes pride in high-quality work, with strong attention to detail and accountable follow-through
• Marketing, CRM, or consumer products experience is a plus

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