Margin Assurance Specialist

Margin assurance is a highly focused area within the Telecommunications sector with the purpose of detecting, correcting and preventing any revenue leakages from reducing cost, increasing revenue and minimising loss through the effective use of controls and various technologies. An experienced MA Senior Specialist with strong financial and technical skills, preferably from the Telecoms or Banking industry, will be responsible for implementing the end to end Margin (Revenue) Assurance controls.

Key accountabilities and decision ownership:

• To provide independent and comprehensive monthly reports, KPI dashboards and documentation.
• Investigate, analyse, validate, and quantify all revenue/cost incidents identified.
• Identify gaps/shortcomings in the MA process and develop/recommend strategies to address the gaps/shortcomings.
• Ensure that Margin assurance standards, SOX, Internal Audit, MA policies and procedures have been adhered to.
• Leverage the Vodafone expertise to identify areas of concern, information sharing and adopt best practices.

Key performance indicators:

• Responsible for designing and performing MA controls, including documentation of existing and new controls (policy and procedures).
• Independently investigate and recommend mitigating controls to business to resolve known gaps within reasonable time.
• Become an MA ambassador and assist business with ad hoc queries.

Core competencies, knowledge and experience:

• Excellent data mining skills.
• Excellent data analysis skills.
• Assurance background within telecoms or financial services.
• 2-5 years of experience using programming languages (i.e. SQL, Python etc.) and other analytical tools.
• Excellent problem-solving skills.

Must have technical/professional qualifications:

• B-degree in Accounting, Business Science, Telecoms, Financial Services.
• Minimum 5-7 years of experience in a Margin/Revenue Assurance environment, with a strong background in building assurance analytics through complex queries.

Desired Skills:

• Data Mining.
• Data Analysis.
• Python.
• SQL.