AI & Data Analytics Specialist

Samsung Electronics is hiring an AI & Data Analytics Specialist in Singapore, Singapore. Level rates it ; you can apply on Samsung Electronics.

Level's read on this job

On Level's scale, this data analyst role is Uses AI ●●○○: an ordinary role that requires AI tools.
The posting mentions AI agents and AI automation among its tools and skills.
Level classes it as a mid-level role.
Samsung Electronics has 653 other open roles on Level.
Posted in the last few days.

AI in this role

ai-agentsai-automation

Position Summary

As part of the Regional Marketing Team of Southeast Asia and Oceania (SEAO) headquarters, you’ll work on AI and data analytics initiatives while reporting directly to the Data Science & AI Lead.

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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How we rate this

AI & Data Analytics Specialist at Samsung Electronics rates 49 out of 100 for how much of the daily work is AI. That makes it Uses AI (AI Level 2 of 4). The level is about AI in the job, not seniority.

Classification

Uses AI. An ordinary role that requires AI tools.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

AI & Data Analytics Specialist is an open job at Samsung Electronics.
Level rates this role AI Level 2 of 4: Uses AI.
The role is based in Mapletree Business City, Singapore, Singapore.
The job was posted on October 27, 2026.
Seniority: mid.
Applications are handled by Samsung Electronics. Apply on Samsung Electronics

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

AI agentsAI Automation

Also common in data analyst jobs at this level

dbt Machine learning LLM Snowflake Generative AI Databricks

Pay

Typical data analyst job: $112k

This posting doesn't list pay. Use the typical data analyst figure when pay comes up. See data analyst jobs

Questions you could be asked

How do you decide when an AI agent can act on its own versus asking for approval first?
Tell me about a workflow you automated with AI tools, end to end.
This role expects you to use AI tools as part of the job. Which ones have you used, and for what?
Tell me about a time an AI tool got something wrong. How did you catch it?

Adapt your resume

List these exact terms on your resume: AI agents and AI Automation. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Put the AI tool in a bullet point about what you did, not just in a skills list. This role treats it as a required part of the job.

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