اسنپ مارکت
اسنپ مارکت

Data Analyst

Tehran/Jordan
Full Time
Saturday to Wednesday
-
Loan -Health insurance -Flexible working hours -Learning stipends -Game room -Resting space -Breakfast -Occasional packages and gifts

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501 - 1000 employees
Internet Provider / E-commerce / Online Services
Iranian company dealing only with Iranian entities
2018
snappmarket
Privately held
توضیحات بیشتر

key Requirements

2 years experience in similar position
Microsoft Excel - Advanced
Sql Server - Advanced
Python - Intermediate
R - Intermediate
PowerBI - Intermediate

Job Description

The Data Analyst Line is responsible for managing and supporting the data and analytics needs of SnappMarket’s Smart Business Line, including Smart and Franchise stores. The role focuses on translating business needs into reliable data solutions, reports, dashboards, analytical models, and actionable insights.

Key Responsibilities

  • Build, maintain, and improve Power BI dashboards, reports, and analytical datasets.
  • Develop strong knowledge of the company’s data structure, database tables, data sources, and data standards.
  • Translate stakeholder requirements into SQL queries, reports, and actionable business insights.
  • Perform data-driven problem solving, root-cause analysis, and deep-dive analysis for key business challenges.
  • Build and maintain analytical models for business metrics and performance measurement.
  • Ensure data accuracy, consistency, and reliability across reports, dashboards, and analyses.
  • Automate recurring reports and analytical processes where applicable.
  • Support business performance monitoring, forecasting, planning, and data-driven decision-making.

Skills & Qualifications

Essential

  • Advanced proficiency in SQL and ability to work with large and complex datasets.
  • Strong knowledge of Excel / Google Sheets and BI tools such as Power BI and Metabase.
  • Working knowledge of Python and R for data analysis, modeling, or automation.
  • Strong understanding of business metrics and performance analysis.
  • Strong analytical thinking and problem-solving skills.
  • Ability to translate business needs into structured analytical solutions.
  • Strong communication and stakeholder management skills.

Preferred

  • Experience in Retail, E-commerce, Quick Commerce, FMCG, or multi-store businesses.
  • Experience working with both online and offline sales data.
  • Familiarity with forecasting, predictive modeling, optimization, or automated decision-making systems.

Job Requirements

Age
Until 35 Years Old
Gender
Men / Women
Software
Microsoft Excel| Advanced Sql Server| Advanced Python| Intermediate R| Intermediate PowerBI| Intermediate

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