Data Collection and Organization: Collect and store data on sales numbers, market research, logistics, linguistics, or other behaviors.
Data Analysis: Analyze data using statistical techniques and machine learning exercises to identify trends, patterns, and correlations.
Reporting and Visualization: Generate reports and present findings to aid decision-making, using data visualization techniques to communicate complex information.
Problem-Solving: Research and use data to solve problems, optimize profit, minimize turnover, or streamline logistics.
Data Quality: Stress test data for quality and accuracy, ensuring that data is reliable and trustworthy.
Skills and Qualifications:
Bachelor's or Graduate's Degree in business, computer science, engineering, or information systems or equivalent experience.
Comfortable with statistics, datasets, and machine learning exercises.
Strong analytical and problem-solving skills.
Ability to communicate complex information in a clear and concise manner.
Proficiency in data analysis tools and software, such as Excel, SQL, and statistical programming languages.