M-Pesa Margin Assurance Business Analyst at Vodacom Tanzania

by Zoom Tanzania in
89 (views)

Job Role Insights

  • Date posted

    2024-01-18

  • Closing date

    2024-02-17

  • Hiring location

    Dar es Salaam

  • Career level

    Senior

  • Qualification

    Degree

  • Experience

    1 - 2 Years

  • Quantity

    1 person

  • Gender

    both

  • Job ID

    20326

Job Description

Role purpose:

  • The key purpose of the M-Pesa Business Analyst is to ensure completeness and accuracy of the M-Pesa /GSM revenue stream.
  • In addition to checking on the integrity of systems in place, the position requires an inclination towards continuous improvements in M-Pesa/GSM revenue chain, proactive design and implementation of preventive controls and detecting anomalies

Key accountabilities:

  • Regular review and ensure that M-Pesa/GSM published tariffs are implemented accurately on Vodacom systems
  • Perform quality assurance testing on key processes and systems in M-Pesa/GSM
  • Monitor for, prevent from, identify and remedy for potential errors in M-Pesa/GSM
  • Perform regular reconciliation and (gap) analysis of M-Pesa/GSM revenue streams
  • Monitor bill payment/collection /Invoice through multiple checks and balances in the system.
  • Build predictive revenue leakage controls using machine-learning algorithms
  • Work with stakeholders throughout the organization to design, develop and implement best MA practices to minimize revenue leakage
  • Use Data Science techniques/tools to automate MA processes; Aggregate data from disparate sources used for MA analytics.

Core Competencies, Knowledge, Experience and Qualification:

  • Attention to Detail: Ability to focus on the lowest level of detail and assess the impact at the macro level
  • Strong analytical skills
  • Strong mix and combination of Technical/engineering skills as well as Financial skills
  • Passion for the role: Exhibit enthusiasm and a can-do attitude about work and deliverables
  • Degree in at least one of the following: IT, Accounting, Technology, Engineering
  • Strong data analysis skills e.g. on SQL, PL/SQL, ACL, Python
  • Knowledge of revenue assurance methodologies
  • Knowledge of Data Science Tools and Languages

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