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Senior Analyst - Revenue Assurance - 1-Year Engagement

MENA Consultant

Riyadh

On-site

SAR 150,000 - 200,000

Full time

Today
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Job summary

A leading consulting firm in Riyadh is seeking a highly skilled Senior Analyst to join its team for a 1-year engagement in Revenue Assurance. The ideal candidate should have strong data analytics experience, knowledge of SQL and Power BI, and come from utilities or telecom sectors. Fluency in Arabic and English is essential, and the candidate should be available to join immediately. This role will involve advanced data analysis, dashboard development, and supporting revenue assurance initiatives.

Qualifications

  • 4-8 years of experience in a relevant field.
  • Fluency in Arabic & English (written and spoken).
  • Availability to join immediately.

Responsibilities

  • Conduct advanced data analysis to generate insights.
  • Develop and maintain dashboards and reports using Power BI.
  • Create and optimize SQL queries for data extraction.
  • Support revenue assurance initiatives through analysis.
  • Collaborate with stakeholders on data-driven solutions.

Skills

Data Analytics Experience
Technical Proficiency in SQL
Technical Proficiency in Power BI
Knowledge of revenue leakage points
Communication Skills

Education

Bachelor’s degree in Data Analytics, Computer Science, Business, or related field

Tools

SQL
Power BI
Job description
Senior Analyst - Revenue Assurance - 1-Year Engagement

Riyadh, KSA

  • Location: Riyadh, KSA.
  • Years of Experience: 4-8 years.
  • Project Duration: 1 year.
  • Language Requirements: Fluency in Arabic & English (written and spoken).
  • Starting Date: as soon as possible.

We are seeking a highly skilled and detail-oriented Senior Analyst to join our team. The ideal candidate should be available to join immediately, and should have proven experience in Data Analytics, working with large datasets, proficiency in programming languages such as SQL, and advanced knowledge of visualization tools like Power BI. A deep understanding of revenue leakage points, fraud detection, and Revenue Assurance (RA) frameworks is essential, along with prior experience in the utilities or telecom sectors. If you have hands‑on experience in revenue assurance processes and methodologies, we encourage you to apply for this exciting opportunity.

Key Qualifications
  • Data Analytics Experience: Strong expertise in data analysis, with the ability to identify trends, patterns, and actionable insights.
  • Technical Proficiency
    • Proven experience working with large datasets and proficiency in programming languages such as SQL and visualization tools like Power BI.
    • Deep understanding of revenue leakage points, fraud detection, and RA frameworks.
  • Sector Knowledge: Prior experience in the utilities or telecom sectors.
  • Revenue Assurance: in revenue assurance processes and methodologies.
  • Availability to join immediately.
Other Qualifications
  • Education: Bachelor’s degree in Data Analytics, Computer Science, Business, or a related field; advanced degrees are a plus.
  • Communication Skills: Strong verbal and written communication skills for presenting findings and engaging stakeholders effectively.
  • Team Collaboration: Demonstrated ability to work in cross‑functional teams and manage multiple priorities in a dynamic environment.
  • Problem‑Solving Skills: Excellent analytical thinking and ability to translate complex data into clear, meaningful insights.
Key Responsibilities
  • Conduct advanced data analysis to generate insights, supporting organizational goals and identifying opportunities for process optimization.
  • Develop and maintain dashboards and reports using tools like Power BI, ensuring accurate and timely dissemination of information.
  • Create and optimize SQL queries for data extraction and transformation to enable in-depth analysis.
  • Support revenue assurance initiatives by analyzing and monitoring key revenue streams and identifying discrepancies.
  • Collaborate with stakeholders to understand business challenges and develop data‑driven solutions.
  • Provide actionable insights and recommendations to support strategic decision‑making.
  • Ensure data integrity, quality, and security across all analytical processes and tools.
  • Stay updated on industry trends, tools, and best practices to drive innovation in analytics and reporting.

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