Senior Business Data Analyst

Job description

Digikala is in constant and fast evolution in order to serve millions of customers at best. Commercial Development team aspires to enhance the organizational effectiveness and transform the business of Digikala through design, implementation, and improvement of the vision, strategies, systems, processes, and policies of the Commercial department.

In this role, you are responsible for diagnosing business problems and identifying growth opportunities by diving deep into business and operational data sets. You must play an active role in defining and answering business questions by conducting exploratory data analysis. In addition, you need to be an effective bridge between different teams by summarizing the findings and creating visualizations to help the company interpret and make decisions with the data.

Main Responsibilities:

  • Use data to discover business problems, answer key questions about business challenges
  • Design and develop metrics, reports, and analyses to review performance, drive key business decisions and improve results
  • Synthesize current business intelligence or trend data to support recommendations for action
  • Identify, analyze, and interpret trends or patterns in complex data sets
  • Generate standard or custom reports summarizing business or operational data for review by managers
  • Produce written documentation to support your work, report on your findings and present to stakeholders when necessary
  • Work closely with a wide variety of teams on project definition, performance review, and stakeholder meetings


  • 2-3 years of previous work experience as a business analyst or data analyst
  • Bachelor’s degree in Statistics, Industrial Engineering, Mathematics, Economics, Computer Science, or Management
  • MBA or Master’s degree in Management/Industrial Engineering is a plus
  • Experience in collecting, organizing, and analyzing data to draw business-relevant conclusions and in data visualization techniques and tools
  • Knowledge of statistics and experience using tools for analyzing large and complex datasets (Excel, SPSS Modeler, SPSS Statistics etc.)
  • Practical experience in data analysis with Python or R
  • Strong written and verbal communication skills to present findings to a range of audiences
  • Advanced English proficiency, both verbal and written