Senior Analyst - Revenue Assurance - 1-Year Engagement

MENA Consultant; Verulam; On-site; ZAR 600,000 - 900,000; Full time

Job summary

An international consultancy is looking for a Senior Analyst specializing in Revenue Assurance to join their team in South Africa. The ideal candidate will have extensive experience with data analytics, SQL, and Power BI, and will play a key role in identifying revenue leakage and developing data-driven solutions. Strong communication skills and the ability to work across teams are crucial for this position, with responsibilities including advanced data analysis, dashboard development, and supporting revenue assurance initiatives. This role also emphasizes immediate availability and expertise in the utilities or telecom sectors.

Qualifications

• Proven experience in Data Analytics and Data Analysis.
• Experience in revenue assurance processes and methodologies is a plus.
• Strong communication skills for effectively engaging stakeholders.

Responsibilities

• Conduct advanced data analysis to generate insights.
• Develop and maintain dashboards and reports using Power BI.
• Support revenue assurance initiatives and analyze revenue streams.

Skills

Data Analytics

SQL

Power BI

Analytical Thinking

Communication Skills

Education

Bachelor's degree in Data Analytics, Computer Science, Business

Tools

SQL

Power BI

Job description

Senior Analyst - Revenue Assurance - 1-Year Engagement

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: Experience 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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