Finance Analyst at Lumos

Job Description

• The Finance Analyst shall be responsible for day to day data management of all finance data.
• Role requires demonstration of strong competence in Finance Reporting and Analysis, Information Gathering and data Management.
• Success is directly dependent on role holder’s ability to maintain a coordinated approach in collating data and turning it into intelligence with high level of confidentiality for business decision to be made.

Job Responsibilities

• First point of contact for all Financial Planning & Analysis support required by functional business units
• Develop and maintain templates for accurate financial analysis and proper planning
• Responsible for timely provision of relevant and accurate financial reporting & analysis to facilitate business decisions
• Improve financial status by monitoring variances, identifying trends, analyzing results and making recommendations to management:
  • Ongoing inventory monitoring
  • Monitoring of serials sold to Trade Partners and not sold to customers
  • Monitoring cancellations not flagged rightly in the CRM
  • Monitoring refunds and customers contract agreement
  • Comparison between cancellations in CRM and refund to customers
  • Comparison between CRM and accounting transactions
  • Check IDU sold without setup fee
• Periodically run scenario analysis based on revenues and costs to support decisions on pricing, new products etc.
• Preparation of external financial management reporting:
  • Quarterly IFRS report (IDU depreciation, Panel depreciation, Balance Owned, Down-payment depreciation, credit tool report)

Educational Qualifications & Functional / Technical Skills

• First degree in Accounting, Finance, Economics or related discipline.

Relevant Experience

• Minimum of 3 years’ experience in data management
• Excellent Knowledge in CRM, ERP and Tableau
• Proficiency in the use of Microsoft Excel is a key requirement
• Experience working in a global, geo-diverse company, will be an added advantage

Other Requirements (Behavioral etc.)
General Competencies:

• Knowledge and experience of data validation techniques is required
• Analytical, problem-solving and reporting skills
• Ability to interact with Senior Leadership team
• Good communication skills; verbal and written
• Good interpersonal relationship skills; good team player
• Ability to use initiatives and proactively proffer solution
• Professionalism and high level of discretion is a must