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Korsit distributes digital goods globally with a data and analytics stack centered on Python, SQL, Databricks, and BI tools (Power BI, Tableau, Looker Studio). The project list—spanning prompt engineering, dashboard development, data pipeline optimization, and AI workflows—reveals an organization scaling internal data capabilities and automation to solve operational friction (content efficiency, fraud detection, margin optimization, ad spend management). Hiring is minimal but balanced across marketing, data, and product roles, suggesting incremental growth focused on consolidating recent platform investments rather than expansion.
Tech Stack 16 technologies
Core StackPower BI Tableau Python Databricks Unity Catalog Great Expectations OpenAI n8n Strapi Google Ads Google Analytics Excel Google Sheets SQL Google Tag Manager Looker Studio
What KORSIT Is Building
◆Challenges
- Content team inefficiency
- Detecting fraud
- Improving reporting efficiency
- Margin optimization
- Supplier performance
- Modern data ecosystem
- Ai workflow inefficiency
- Managing large international ad budgets
- Optimizing return on ad spend
- Generating more orders
▲Active Projects
- Prompt engineering for seo and translations
- Dashboard development for finance, procurement, sales, marketing
- Category margin growth
- Cost-effective procurement management
- Modern data ecosystem
- Data pipeline optimization
- Ai workflow development
- German copy optimization
- Ai workflow automation
- German copy localization
Hiring Activity
Minimal8 roles · 0 in 30d
Department
Seniority
Company intelligence
