Data Analysis & ML:

• Python (Pandas, NumPy, Scikit-learn)
• PySpark Excel
• Machine Learning (Linear Regression, Decision Trees, Collaborative Filtering)

Business & Systems Analysis:

• Use Cases
• User Stories
• BPMN/UML (Draw.io)

Visualization & Analytics:

• Familiar with Power BI (Basic dashboard), Google Analytics 4 (GA4) and Google Tag Manager
• Matplotlib (data visualization and analysis in Python)

Marketing Analytics:

• SWOT, PEST, EFAS, IFAS Analysis
• Performance metrics (ROMI, CAC, LTV)

Databases:

• SQL
• MySQL
• MongoDB

Testing Skills:

• Understanding of Software Testing Theory
• Understanding of Testing Principles
• Understanding of Types of Testing (Manual, Smoke, Sanity, Regression, Usability, GUI)
• Software Testing Tools

Tools:

• API testing (Postman, Charles, Web Inspector, Fiddler, PICT)
• TMS: TestRail
• QA/QC tools: Jira, Mantis, Redmine
• VCS: Git (basic experience)
• CI: Jenkins

Other Tech Skills:

• JSON, XML
• HTML (basic knowledge)
• Draw.io
• Jira

Soft Skills:

• Organizational skills
• Communication skills
• Ability to quickly learn new information
• Ability to use office equipment
• Conflict-free
• Stress resistance
• Teamwork
• Responsibility
• Attention to detail
• Logical thinking
• Accuracy
• Акуратність
• Логічне мислення