Data Analyst | After Sales Services

Job Summary:
Digikala’s After-Sales Service Department is seeking a motivated, detail-oriented, and eager-to-learn Junior Data Analyst to enhance data-driven processes and decision-making. This role is ideal for individuals passionate about data analysis, reporting, and improving customer experience.

Key Responsibilities:

• Collect, clean, and prepare data related to the performance of the After-Sales Service Department

• Analyze data to identify patterns, trends, and key performance indicators (KPIs)

• Develop analytical reports and management dashboards to support informed decision-making

• Support operational teams in improving workflows through data-driven insights

• Collaborate with technical teams to enhance data quality and accuracy in internal systems

• Provide data-based recommendations to optimize customer experience and reduce service costs

Required Skills and Competencies:

• Basic familiarity with data analysis tools such as Excel, Power BI, or Google Data Studio

• Basic understanding of SQL and ability to extract data from databases (considered an advantage)

• Ability to analyze data and present concise, actionable reports for management

• High attention to detail and a curiosity for problem-solving and process improvement

• Strong teamwork, adaptability, and accountability in completing assigned tasks

• Familiarity with KPIs related to after-sales or customer service is a plus

Qualifications:

• Bachelor’s degree in Industrial Engineering, Statistics, Management, Information Technology, or a related field

• Up to 2 years of relevant experience (including analytical academic projects)

• Strong interpersonal and communication skills to collaborate effectively across teams

• Enthusiasm for learning new tools and developing analytical competencies

Benefits:

• Dynamic and learning-oriented environment within the largest e-commerce platform in the country

• Career growth opportunities in data analytics and data-driven decision-making

• Access to large and diverse datasets for analytical skill development

• Close collaboration with professional teams in After-Sales Service and Customer Experience