Data Analytics Jobs in South Korea
There are 93 open Data Analytics jobs in South Korea on freehire right now. 14 of them were posted recently. The skills employers ask for most often are sql, python and ai.
Most requested skills
- sql 43%
- python 29%
- ai 25%
- analytics 25%
- airflow 17%
- tableau 15%
- data-analytics 13%
- data-quality 11%
How the work is done
- Hybrid 7 · 8%
- Onsite 7 · 8%
- Remote 3 · 3%
Visa sponsorship offered in 58% of the 12 postings that state a position on it.
Seniority
- Senior 16
- Intern 3
- Lead 2
- Staff 2
- C-level 1
- Middle 1
Who is hiring
- 1000+ employees 27
- 501-1000 employees 13
- 51-200 employees 6
Data Analyst (7년 미만)
Data Analyst at Toss Securities analyzes mobile product metrics (LTV, retention, cohorts) using SQL and A/B testing to drive product decisions in a fintech environment.
Data Analytics Engineer
Builds and maintains the data pipelines and analytics infrastructure for Toss’s offline payments business, using Snowflake, dbt, Airflow, and SQL to create a single source of truth for product teams.
Data Analytics Engineer
Build and maintain Toss Income’s data marts and semantic layer using dbt and Snowflake, ensuring consistent metrics and high-quality data for analytics and AI agents.
Data Analytics Engineer (Data Warehouse/Mart)
Build and maintain data warehouses and marts for a securities platform, designing clear data models and pipelines to support analytics and reporting for stock trading services.
[코어] Data Analytics Engineer (Governance)
Designs and builds enterprise-wide feature pipelines (ML inputs, search indexes, APIs) for Toss, ensuring data lineage, quality, and lifecycle management while standardizing feature metadata and governance processes.
[코어] Data Analytics Engineer (Finops)
Builds and operates financial-data products for Toss Core, designing scalable DW models and BI strategies to unify revenue, cost, asset, and liability data across the org.
Data Analytics Engineer (Product)
Designs and maintains data models for Toss’s commerce, ads, payments, growth, and business domains, ensuring reliable, standardized data for analytics and product development using SQL, Python, and Hadoop.
Data Analytics Engineer (Data Warehouse/Platform)
Build and maintain Toss Securities' data warehouse and ETL pipelines using Hadoop, Spark, and Airflow to enable efficient data processing and analytics for a growing fintech platform.
Data Analyst (7년 이상)
Data Analyst at Toss Securities responsible for quantifying product goals, uncovering problems from data, and designing metrics frameworks to align cross-team decisions in a fintech environment.
Data Analytics Engineer (DW)
Builds and maintains Toss’s enterprise data warehouse, automating pipelines and data marts with Hadoop and open-source tools while collaborating with analysts and ML teams.
Data Analytics Engineer (Platform)
The Data Analytics Engineer will build and maintain standardized data warehouses and quality management processes to improve data maturity across Toss. The role involves designing efficient data pipelines, developing monitoring systems, and collaborating with domain teams using Hadoop, Airflow, Python, and SQL.