The Data Analyst is responsible for organizing data related to sales numbers, market research, logistics, linguistics, or other behaviours. The ideal candidate will utilize technical expertise to ensure data is accurate and high-quality, and is able to analyze, design, and present in a way that enables teams, businesses, and organizations make more informed business decisions.
- Have the data insight in E-commerce field: key metrics for sales, marketing, consumer insights.
- Build, maintain and optimize performance tracking dashboards for teams, stating trends, patterns, and predictions using relevant data
- Using automated tools to extract data from primary and secondary sources
- Maintain data hygiene and integrity by removing corrupted data and fixing coding errors and related problems
- Developing and maintaining databases, data systems – reorganizing data in a readable format
- Filter data by reviewing reports and performance indicators to identify and correct code problems
- Using statistical tools to identify, analyze, and interpret patterns and trends in complex data sets to drive diagnosis, prediction models and final analysis reports to drive actionable recommendations/decisions
- Assigning numerical value to essential business functions so that business performance can be assessed and compared over periods of time.
- Analyzing local, national, and global trends that impact both the organization and the industry
- Working with programmers, engineers, and management heads to identify process improvement opportunities, propose system modifications, and devise data governance strategies.
