Finance Business Partner - Internet of Things
Lisbon, Portugal
há 4 dias

Main Purpose of the Role

The role is broad and will be responsible for providing the killer insight and then driving the actions that support our aggressive growth aspirations.

We are moving into new markets, developing fresh propositions from scratch and driving a disruption across the global mobility market.

You will be self- sufficient, intellectually curious, great fun to work with but difficult when you need to be.

We expect you to bring first class analysis skills and bring some wow’ to your exploitation of analysis tools. We are confident that this environment will provide exceptional development opportunities for the right individual.

You will be joining a small team where meritocracy is the main guiding light.

Key Responsibilities

  • Own and deliver insightful analytics & business intelligence that informs all commercial aspects of the Internet of Things Business.
  • Gross Margin analysis of base customers. Price & airtime (Cost of Sale) elasticity Marketing ROI analysis Analytics to enhance our pricing and offering
  • Business partner with Sales & Marketing teams
  • KPI and reporting of sales and revenue performance
  • Budgeting, Forecasting & 5 year plan
  • Extensive modelling into new strategic projects and modelling of BAU scenarios
  • Ensure sales commitments are fully delivered, highlighting risks and opportunities along the way
  • Skills and Experience Required

  • Anything from 2 years PQE to 10 years PQE. Qualified accountant
  • Inquisitive mind, insightful, high intellect, creative, problem solver, comfortable with ambiguity, team player, resilient, good sense of humour, patient, impatient.
  • An Integrator and fixer.

  • Can do will do attitude. Will roll up sleeves as necessary, flexible
  • Enthused by the prospect of working at the bleeding edge and all that goes with it, good and bad.
  • Superior excel skills, Salesforce experience desirable
  • Experience working / optimising against a backdrop of imperfect systems and data
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