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Data Analyst

Professional Advanced IT Solutions - PAIS GULF
Riyadh, KSA
Fulltime
Entry
2 months ago
GitPower BISQLTableau
Free

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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.

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 (Prefered), 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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