Data Analyst

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    Company NameSharaf Retail
    Company TypePrivate
    Job TypeFull-Time
    Salary RangeMarket Competitive
    LocationDubai, United Arab Emirates
    QualificationsNone / No Formal Education
    Experience2 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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