data analyst for operational decisions

Self-initiated / Learning Project is an independent, project-based environment focused on developing practical data skills through real-world analysis. It emphasizes continuous learning, experimentation, and hands-on problem solving, helping transform raw data into actionable insights and process improvements.

• Collect, clean, and organize data from multiple sources;
• Perform quantitative analyses;
• Build reports and dashboards;
• Interpret trends to support operational and strategic decisions;
• Collaborate with project stakeholders to define metrics and clarify requirements;
• Present findings in clear, accessible formats;
• Document methodologies and maintain datasets;
• Refine analytical approaches to improve project outcomes.

• Strong analytical skills for interpreting complex datasets and identifying patterns;
• Proficiency in data analytics, including data cleaning, transformation, and visualization;
• Solid understanding of descriptive and inferential statistics;
• Experience with data modeling for analysis and reporting;
• Effective communication skills for explaining insights to non-technical audiences;
• Familiarity with spreadsheet tools and data analysis software such as Excel, SQL, Python, or R;
• Attention to detail and a strong problem-solving mindset;
• Bachelor’s degree in a quantitative field or equivalent practical experience;
• Ability to work independently on-site in Peshku and manage multiple tasks in a learning-focused environment.

• On-site position based in Peshku, Uzbekistan.