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Verified Data Analysis Skills
Every Data Analysis developer's skills are validated through actual GitHub repositories, not just resume claims.
- Real Data Analysis projects analyzed
- Contribution history verified
- Code quality signals included
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- Data Analysis experience levels
- Location and timezone filters
- Activity and repository filters
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Quality Assurance
Every Data Analysis developer profile includes comprehensive quality metrics and verification.
- Public work you can inspect
- Recent activity signals
- Related skill pairings
Traditional Recruiting vs. RealGreatDevs for Data Analysis
Traditional Recruiting
The old way
- 15–25% placement fees
- Months to fill a role
- Resume claims, not proof
- Limited Data Analysis specialist reach
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GitHub verification
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Hiring in South Korea is as much a scheduling question as a sourcing one. At UTC+9, that means a short morning or evening overlap with Western Europe and little natural overlap with the US West Coast. That decides whether you are hiring someone who joins your stand-up or someone who hands off to it.
Developers in South Korea cluster in Seoul, Seoul, Daejeon and Suwon. City counts cover every indexed developer there, not only the ones using Data Analysis, so treat them as where the country's engineering population sits rather than a count for this skill.
Data Analysis developers in South Korea most often pair it with Python (88.2%), JavaScript (76.5%) and HTML (64.7%).
Developer cities in South Korea
All indexed developers per city, across every skill.
- Seoul15,169
- Seoul808
- Daejeon604
- Suwon459
- Busan446
- Incheon408
- Daegu254
- South Korea249
- Korea233
- Seongnam137
Counts are developers in the indexed profile set.
Other skills hired in South Korea
Each links to the same country breakdown for that technology.
- Python12,444
- JavaScript12,118
- HTML11,002
- Java9,381
- TypeScript8,416
- C++6,049
- Jupyter5,893
- CSS5,125
- C4,374
- Bash / Shell3,021
- Kotlin2,781
- C#2,272
- Go1,971
- Vue.js1,793
Counts are developers in the indexed profile set.
What Data Analysis developers in South Korea also use
Share of this group who also work with each technology.
- Python75 · 88.2%
- JavaScript65 · 76.5%
- HTML55 · 64.7%
- Jupyter50 · 58.8%
- Java40 · 47.1%
- C++35 · 41.2%
- Data Science30 · 35.3%
- CSS25 · 29.4%
- Data Visualization25 · 29.4%
- TypeScript25 · 29.4%
- Algorithms20 · 23.5%
- Bash / Shell20 · 23.5%
Counts are developers in the indexed profile set.
What Data Analysis developers in South Korea look like
Measured across the profiles in this group, not self-reported.
- Median public contributions, last 12 months
- 47
- Median public repositories
- 26
- Median followers
- 23
- Have a linked LinkedIn profile
- 23.5%
- Flagged as open to work on GitHub
- 11.8%
Years of experience
- 0–2 years12%
- 3–5 years24%
- 6–9 years59%
- 10+ years6%
Shares of the profiles in this group where experience could be derived.
Sample profiles from South Korea
Real indexed developers, reduced to ranges and derived labels so no individual is identifiable.
- Contributions / year
- 50–100
- Public repositories
- 35–50
- Followers
- 100–250
- Contributions / year
- 100–250
- Public repositories
- 20–35
- Followers
- 25–50
- Contributions / year
- 500–1,000
- Public repositories
- 5–10
- Followers
- 0–10
- Contributions / year
- 50–100
- Public repositories
- 35–50
- Followers
- 100–250
- Contributions / year
- 250–500
- Public repositories
- 20–35
- Followers
- 10–25
- Contributions / year
- 500–1,000
- Public repositories
- 20–35
- Followers
- 50–100
Figures are shown as ranges and identifying details are removed. Full profiles, including GitHub handles and contact details, are available to signed-in users.
Frequently asked questions
How many Data Analysis developers are there in South Korea?
65 developers based in South Korea show Data Analysis in their public GitHub work, which is 0.7% of all 8,848 Data Analysis developers in the index.
Which cities in South Korea have the most developers?
Seoul (15,169), Seoul (808), Daejeon (604), Suwon (459) and Busan (446). These are counts of all indexed developers in each city.
Do working hours in South Korea overlap with my team?
At UTC+9, that means a short morning or evening overlap with Western Europe and little natural overlap with the US West Coast.
How active are Data Analysis developers in South Korea?
The median developer in this group made 47 public contributions in the last year across 26 public repositories, with a median of 23 followers.
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