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.
Tools : Excel, Power BI, SQL, Tableau
How strong is your resume?
Upload your resume and get feedback from our expert to help land this job
How strong is your resume?
Upload your resume and get feedback from our expert to help land this job