Business Analyst

  • Customer Services
  • Full-time
  • Tehran
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Job Description

At Alibaba Travels’ Operations Excellence team, we’re looking for a process-driven and data-oriented Business Analyst to help us optimize workflows and enhance customer service efficiency.
You will act as the bridge between data and operations — analyzing business processes, identifying improvement opportunities, and transforming insights into actionable initiatives.
If you have a structured mindset, enjoy finding root causes, and thrive in a dynamic environment, this is the right place to grow.

Responsibilities:

  • Analyze and model customer service operational processes to identify bottlenecks and improvement opportunities.
  • Map and document As-Is and To-Be process flows and suggest change initiatives.
  • Analyze performance data and provide data-driven recommendations.
  • Design and build management dashboards in Power BI (or similar BI tools) to track KPIs.
  • Collaborate with Data, QA, and Operations teams to define and monitor KPIs and SLAs.
  • Conduct ad-hoc analyses to support managerial decision-making.
  • Work closely with tech and product teams to implement improvement actions.
  • Prepare analytical reports and visual summaries for managers and stakeholders.

 Requirements:

  • Bachelor’s degree in Industrial Engineering, Management, Data Science, or IT.
  • 1–3 years of experience in process analysis or business/data analysis in operational or service environments.
  • Strong proficiency in Excel and familiarity with BI tools (Power BI, Tableau, etc.).
  • Understanding of process modeling (BPMN) and Process Mining concepts.
  • Familiarity with SQL and basic knowledge of Python is a plus.
  • Knowledge of KPI, SLA, gap analysis, and continuous improvement principles.
  • Ability to identify trends and patterns in performance data.
  • Strong communication skills with the ability to simplify analytical insights.
  • Attention to detail, discipline, and eagerness to learn.
  • Ability to work in teams and manage multiple projects simultaneously.

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