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Data Analyst

Job in Dubai, Dubai, UAE/Dubai
Listing for: Visa Boards
Full Time position
Listed on 2026-05-13
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager
Salary/Wage Range or Industry Benchmark: 120000 - 200000 AED Yearly AED 120000.00 200000.00 YEAR
Job Description & How to Apply Below
|  |  || --- | --- ||
** Location** | Dubai, United Arab Emirates ||
** Qualifications** | None / No Formal Education ||
** Experience** | 2 Year+ |## Job Overview Sharaf Retail is seeking a Data Analyst to deliver actionable recommendations and insights. This role involves advanced statistical analysis, predictive modeling, and dashboard development to support merchandising, pricing, and store performance improvements.## Company Overview Sharaf Retail operates as part of the Sharaf Group, focusing on retail operations with a presence in Dubai, United Arab Emirates.

The company is dedicated to enhancing analytical capabilities and driving revenue growth through data-driven decision-making.## Quick Details
* Salary Range:
Market Competitive
* Job Type: Full-time

* Qualifications:

None

* Experience:

2+ Years##

Key Responsibilities
* Deliver actionable recommendations on merchandising strategies and inventory optimization.
* Develop and maintain automated Power BI dashboards and data pipelines.
* Conduct deep-dive analyses including market basket analysis and demand forecasting.
* Partner with cross-functional teams to translate business questions into analytical frameworks.
* Apply statistical methods and develop forecasting models.## Requirements
* Advanced proficiency in Python (pandas, statistical libraries) and SQL.
* Strong understanding of retail KPIs and business drivers.
* Experience automating workflows and managing complex multi-source data environments.
* Excellent analytical and problem-solving skills.
* Ability to present data stories to senior leadership.## Benefits
* Opportunity to influence strategic initiatives with data-driven recommendations.
* Work in a dynamic environment with cross-functional teams.
* Develop expertise in advanced statistical analysis and predictive modeling.
* Gain experience with multiple systems including Snowflake, Sage, and Krunch.
* Enhance analytical capabilities through infrastructure improvements.
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