Job Openings Lead, Revenue Assurance

About the job Lead, Revenue Assurance

Purpose of the job

Apply and develop a set of controls to ensure revenues validity in terms of completeness and accuracy.

Duties and responsibilities

  • Implement a set of dynamic controls that are designed to minimize the risk of potential revenue leakage and the risk of customer dissatisfaction and brand protection.
  • Ensure the validity of defined rates on rating engines in accordance with commercial offerings to avoid potential over/undercharging.
  • Ensure the completeness of generated detailed records along network elements till being consolidated completely in final revenue reports.
  • Ensure the consistency of customers details along different data bases to ensure accurate billing for all used products and services.
  • Apply a set of pre-launch and post-launch activities to ensure the coherence of developed technical solution with the commercial defined specs.
  • Participate and work on consolidating detected RA incidents in monthly reports and presentations to be shared with internal management and shareholders.
  • Work on positioning the revenue assurance concepts internally along different departments involved in managing/operating revenue streams.

Job specification

Education

  • Bachelor's degree from a recognized university.

Experience

  • 1-2 Years of experience

Mandatory Technical Skills:

  1. Microsoft Excel: Advanced proficiency, including pivot tables, VLOOKUP, macros, and data analysis tools.
  2. Power Query: Ability to extract, transform, and load (ETL) data from various sources.
  3. Power BI: Skills in creating interactive dashboards, reports, and data visualizations.
  4. SQL: Knowledge of querying databases to extract and manipulate data.
  5. Big Data Handling: Experience with large datasets, data warehousing, and data mining techniques.
  6. Data Reconciliation: Expertise in comparing data from different systems to ensure consistency and accuracy.
  7. Data Analysis: Strong analytical skills to identify patterns, trends, and anomalies in data.

Candidates should possess:

  • Very good English both spoken and written.
  • Very good computer skills.

  • Strong Customer Orientation.
  • Strong communication, listening & interpersonal skills.

  • Flexibility & ability to work in a team.
  • Self-confident with professional behavior & attitude.
  • High sense of time management.