Iranian company dealing only with Iranian entities
1385
Privately held
Company score
4.1
Digital goods
Home appliances
Beauty and Health
Culture and Art
Sports and Entertainment
Digikala is the biggest ecommerce startup in Iran. It was founded in July, 2006 by twin brothers Hamid and Saeed Mohammadi who had an unpleasant experience when they tried to buy a digital camera, after which they used $10,000 of their own savings to start the company. The company was reported to be valued at $150 million in 2014, and $500 million in late 2015. Digikala's main investor is Sarava Pars, an Iranian investment company. Digikala offers same day delivery in Tehran and Karaj, and offers next day delivery in 20 other cities.
As a Data Analyst, you will be responsible for collecting, processing, analyzing, and presenting complex data to support business decisions and improve organizational efficiency. The ideal candidate will have a strong understanding of data analysis techniques, statistical analysis, and data visualization tools.
Responsibilities:
Collect, clean, and process large datasets for analysis and reporting purposes.
Conduct statistical analysis and apply mathematical models to data to identify patterns, trends, and insights.
Plan and conduct experiments to test hypotheses, evaluate the effectiveness of different business strategies and recommend solutions.
Develop and maintain dashboards, visualizations, and reports to communicate key insights to stakeholders.
Collaborate with teammates to understand business requirements and propose solutions for data-driven decision-making.
Monitor data quality and ensure data accuracy, completeness and consistency.
Run ad-hoc data analyses to diagnose business opportunities and recommend actions through effective data storytelling techniques.
Bachelor's degree in Industrial engineering,Mathematics, Statistics, Computer Science, or related field.
Good analytical mindset and interpret data, analyze results using statistical techniques and provide ongoing reports.
Experience in handling large datasets using SQL and Python language.
Knowledge of database management, data warehousing and ETL processes.
Excellent communication and teamwork skills.
Proficiency in Python and PyData tools (Pandas, Numpy, matplotlib, ...)
Knowledge in developing automated reports, dashboards, and data visualization (Preferred Power BI)
Job Requirements
Age
22 - 32 Years Old
Gender
Men / Women
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