Data Analyst

• Collect, clean, transform, and analyze structured and unstructured datasets to identify meaningful trends and business insights
• Apply statistical and Machine Learning techniques for forecasting, classification, segmentation, and other analytical use cases
• Assist in developing, testing, and improving machine learning models based on business requirements
• Identify opportunities where Artificial Intelligence for Business can improve processes, decision-making, customer experience, or operational efficiency
• Support development and integration of data-driven applications using .NET technologies
• Collaborate with .NET developers, data scientists, business teams, and other stakeholders
• Perform exploratory data analysis and create reports, dashboards, and visualizations
• Validate data quality, identify inconsistencies, and ensure analytical outputs are accurate and reliable
• Assist in deploying, monitoring, and maintaining analytical and AI solutions
• Document data processes, analytical methodologies, models, and business requirements
• Stay updated with developments in Machine Learning, Artificial Intelligence, data analytics, and business technology

• 0–2 years of experience
• Strong foundation in Data Analysis and Machine Learning concepts
• Understanding of Artificial Intelligence for Business and practical AI use cases
• Knowledge of .NET development, including familiarity with C# and the .NET framework/ecosystem
• Ability to work with datasets and perform data cleaning, transformation, and exploratory analysis
• Basic understanding of statistics, predictive modeling, and machine learning algorithms
• Strong analytical and problem-solving abilities
• Ability to understand business requirements and translate them into technical or analytical solutions
• Good communication and collaboration skills
• JavaScript, Python, R, SQL, databases, APIs, data visualization tools, or cloud-based analytics platforms are good-to-have
• Academic projects, internships, certifications, or personal projects involving AI, Machine Learning, Data Analytics, or .NET development are good-to-have
• Bachelor's degree in Computer Science, Information Technology, Data Science, Statistics, Mathematics, Engineering, or a related discipline is preferred