Analyst Riyadh, KSA

3 weeks ago


Riyadh, Ar Riyāḑ, Saudi Arabia Menaconsultant Full time

Location: Riyadh, KSA.
Years of Experience: 3-5 years.
Project Duration: 1 year.
Language Requirements: Fluency in Arabic & English (written and spoken).

We are seeking highly skilled Analysts with 3-5 years of experience to join our team for a 1-year engagement. The ideal candidate will have demonstrated expertise in Data Analytics, with proven proficiency in programming languages such as SQL and data visualization tools like PowerBI. A deep understanding of revenue leakage points, fraud detection, and Revenue Assurance (RA) frameworks across industries such as telecom, utilities, or finance is essential. If you are familiar with Revenue Assurance and possess a keen eye for identifying trends and insights that drive impactful decisions, we invite you to apply.

Key Qualifications:

  • 3-5 years of experience in data analytics.
  • Proficiency in handling and analyzing large datasets.
  • Proven experience in programming languages like SQL and visualization tools like PowerBI.
  • Deep understanding of revenue leakage points, fraud detection, and RA frameworks across industries like telecom, utilities, or finance.
  • Familiarity with Revenue Assurance.

Preferred Qualifications:

  • Previous experience working in Saudi Arabia.

Other Qualifications:

  • Strong problem-solving skills with the ability to synthesize data into actionable insights.
  • Excellent communication skills to present findings and recommendations effectively.

Key Responsibilities:

  • Perform advanced data analytics to support revenue assurance initiatives, focusing on identifying anomalies, trends, and opportunities for improvement.
  • Work with large datasets, ensuring data accuracy, consistency, and reliability for analysis and reporting.
  • Develop and maintain analytical solutions using programming languages such as SQL.
  • Design, implement, and manage dashboards and reports using visualization tools like Power BI to communicate insights effectively to stakeholders.
  • Collaborate with cross-functional teams to understand business requirements and translate them into actionable analytical models.
  • Provide data-driven recommendations to improve operational efficiency and optimize revenue streams.
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