Kerja Sepenuh Masa, Data Scientist - Data Analyst di Gender Hub Azerbaijan - Maukerja

The Data Scientist / Data Analyst is responsible for collecting, analyzing, and interpreting data to generate insights that support business decisions, improve operational performance, and drive strategic growth. This role combines analytical thinking, statistical methods, and data-driven problem-solving to transform complex datasets into actionable business intelligence.

You will work with structured and unstructured data from multiple sources, including databases, business applications, APIs, and reporting systems. The role involves cleaning, validating, and organizing data to ensure accuracy and reliability for analysis.

A key responsibility is performing exploratory data analysis, identifying trends, patterns, and opportunities, and developing reports, dashboards, and visualizations that help stakeholders make informed decisions. You will use analytical techniques to uncover insights that support business objectives.

This position also involves applying statistical methods, predictive modeling, and data-driven approaches to solve business challenges. You will collaborate with business teams, product managers, engineers, and leadership teams to translate business questions into analytical solutions.

In addition, the Data Scientist / Data Analyst contributes to improving data quality, enhancing reporting processes, and supporting the organization's data strategy through continuous innovation and analytical excellence.

• Strong analytical and problem-solving skills
• Knowledge of statistics, data analysis, and business intelligence concepts
• Proficiency in Excel, SQL, and data visualization tools
• Familiarity with Python, R, or similar analytical programming languages
• Ability to collect, clean, and interpret large datasets
• Understanding of dashboards, reporting, and KPI tracking
• Knowledge of predictive analytics and statistical modeling concepts
• Strong attention to detail and data accuracy
• Excellent communication and presentation skills
• Ability to translate data insights into business recommendations
• Strong organizational and time management abilities
• Ability to work effectively with cross-functional teams
• Passion for data, technology, and continuous learning