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Data Analyst

Summary

Analyze city services data for Madinaty SuperApp, building Power BI dashboards and SQL queries to turn raw data into insights for operations and product teams.

Job Summary

We are seeking a highly analytical and detail-oriented Data Analyst to support the Madinaty SuperApp initiative. The role involves transforming raw data into actionable insights, enabling data-driven decision-making across multiple city services and digital platforms.

Key Responsibilities

  1. Data Analysis & Insights
    • Analyze large datasets to identify trends, patterns, and actionable insights
    • Develop dashboards and reports to support business and operational decisions
    • Translate business requirements into data-driven solutions
  2. Data Visualization & Reporting
    • Design and maintain interactive dashboards (e.g., Power BI (Preferred), Tableau)
    • Present insights to stakeholders in a clear and impactful manner
    • Automate reporting processes for efficiency and consistency
  3. Data Management & Quality
    • Ensure data accuracy, consistency, and completeness
    • Perform data cleansing, validation, and transformation
    • Collaborate with data engineering teams to optimize data pipelines
  4. Business Collaboration
    • Work closely with product, operations, and technical teams
    • Support KPI definition, tracking, and performance monitoring
    • Provide analytical support for strategic initiatives

Required Qualifications & Skills

Technical Skills

  • Strong proficiency in SQL and data querying
  • Experience with data visualization tools (Power BI, Tableau, Looker, etc.)
  • Knowledge of Excel and statistical analysis techniques
  • Familiarity with Python
  • Understanding of data warehousing concepts

Soft Skills

  • Strong analytical and problem-solving skills
  • Excellent communication and storytelling ability
  • Attention to detail and accuracy
  • Ability to work in a fast-paced, cross-functional environment

Preferred Qualifications

  • Experience in Smart City, SuperApp, or digital platform environments
  • Familiarity with big data technologies (e.g., Spark, Hadoop)
  • Knowledge of data governance and data quality frameworks
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