Financial Analyst - London, United Kingdom - Recruitment Genius

Tom O´Connor

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Tom O´Connor

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Description
Do you have expertise in mathematical modelling with large and complex data sets?
Are you attracted by an opportunity in a growing company that can offer overseas opportunities (including Australia, USA, France, Canada, Dubai plus many others)

Our client, a large global private sector company in the passenger transport sector, is currently seeking a Financial Analyst to support international & UK tenders as well as help out on key internal and external projects.


In this role your key responsibilities will include:

  • Developing simple analytical tools and models (for example in Excel) to aid decision making
  • Managing / interpreting large datasets, in particular of operational, performance, cost and revenue data
  • Carrying out independent and desktop research to understand new & existing environments, cultures or concepts
  • Developing and using basic project management tools to support the delivery of projects and programmes i.e. project plans, risk registers, action lists, stakeholder lists
  • Reviewing trends to forecast / estimate future changes
  • Manipulating/creating graphs, charts and reports in Excel
  • Creating diagrams to complement text in documents & papers

Skills required for this role:

  • Degree qualification mandatory, with a background in transport, engineering, economics, business, science or mathematics preferable
  • 25 years' minimum experience in a similar company, industry or role
  • Strong MS Office, in particular MS Excel
  • Highly motivated team player with a positive & collaborative working attitude and a desire to learn and develop

Location - this is a hybrid role, 3 days per week from offices in Euston, London, and 2 days per week remote.

Occasional travel may be required.

Remuneration - this role is offering a basic of £37,000 - £42,000 plus company benefits, including a contributory pension and generous bonus scheme.

Our client welcomes all qualified applicants.

Applicants will receive fair and impartial consideration without regard to race, gender, colour, religion, national origin, age, disability, genetic data, religion or any other legally protected status.


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