Data Analyst

This is a fully remote position, open to applicants in India.

📋 Description

• Gather, clean, transform, and analyze both structured and unstructured datasets to uncover significant trends and business insights.

• Utilize statistical and Machine Learning techniques for tasks such as forecasting, classification, segmentation, and various analytical applications.

• Assist in the development, testing, and enhancement of machine learning models aligned with business needs.

• Identify opportunities where Artificial Intelligence for Business can enhance processes, decision-making, customer experience, or operational efficiency.

• Support the development and integration of data-driven applications using .NET technologies.

• Collaborate with .NET developers, data scientists, business teams, and other relevant stakeholders.

• Conduct exploratory data analysis and produce reports, dashboards, and visualizations.

• Ensure data quality by validating datasets, identifying inconsistencies, and confirming that analytical outputs are precise and dependable.

• Assist in the deployment, monitoring, and maintenance of analytical and AI solutions.

• Document data processes, analytical methodologies, models, and business requirements.

• Keep abreast of advancements in Machine Learning, Artificial Intelligence, data analytics, and business technology.

⛳️ Requirements

• 0–2 years of relevant experience.

• A solid foundation in Data Analysis and Machine Learning principles.

• Understanding of Artificial Intelligence for Business and practical applications of AI.

• Familiarity with .NET development, including knowledge of C# and the .NET framework/ecosystem.

• Capability to work with datasets, performing data cleaning, transformation, and exploratory analysis.

• Basic knowledge of statistics, predictive modeling, and machine learning algorithms.

• Strong analytical skills and problem-solving capabilities.

• Ability to comprehend business requirements and translate them into technical or analytical solutions.

• Effective communication and collaboration skills.

• Familiarity with JavaScript, Python, R, SQL, databases, APIs, data visualization tools, or cloud-based analytics platforms is advantageous.

• Experience from academic projects, internships, certifications, or personal projects related to AI, Machine Learning, Data Analytics, or .NET development is considered a plus.

• A Bachelor's degree in Computer Science, Information Technology, Data Science, Statistics, Mathematics, Engineering, or a related field is preferred.

🏝️ Benefits

• Competitive salary and performance-based incentives.

• Opportunities for professional development and continuous learning.

• Flexible working hours and remote work options.

• A supportive and collaborative work environment.

• Health and wellness programs.

• Access to cutting-edge technology and resources.