Financial Analyst/Modeller/Data Analyst - CA Financial Appointments

Cape Town, CBD 2 months ago Permanent Salary Negotiable

Financial Analyst/Modeller/Data Analyst

CA Financial Appointments
Cape Town, CBD
Date Created : 2 months ago
Job Type : Permanent
Salary : Salary Negotiable

My client is market-leader in supplying of grid-connected renewable energy to South Africa. They are seeking a highly driven Financial Analyst/Data Modeller to join their dynamic, cross-functional team. The ideal individual will have strong financial modelling skills, data analytics experience, and expertise in customer pricing within the renewable energy industry. The role requires intellectual curiosity, problem-solving abilities, and the capacity to handle complex tasks under pressure.



Responsibilities:

  • Compile and analyse data for customer pricing proposals and management reporting
  • Develop, operate and enhance customer pricing models
  • Ability to tell stories through data visualisation
  • Ability to work independently, as well as within and across multi-disciplinary teams
  • Ability to successfully manage and close projects with large and/or incomplete data sets
  • Manage data and modelling for internal processes such as budgeting and financial reporting
  • Conduct in-depth analysis of electricity market trends and developments to inform and support business decisions
  • Assist in building and automating the data management process, contributing to the development of new products
  • Conduct analysis on metrics including profit and loss analysis and financial performance tracking
  • Monitor and analyse sales funnel KPIs related to customer conversion metrics and performance
  • Conduct customer segmentation analysis to inform sales strategies and identify opportunities for growth
  • Assistance with ad hoc business requests

Requirements:

  • CFA Charter Holder or CA(SA) qualification
  • BCom degree in Business Science, BCom, Mathematics, Statistics or Engineering
  • A minimum of 3 years of financial modelling experience
  • Functional experience in data analytics, data visualisation, dashboarding and reporting
  • Advanced skills in Excel and basic Python skills
  • Renewable energy experience

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