Data MI Analyst

Taylor James Resourcing
London
1 month ago
Applications closed

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We are looking for a Numerate Graduate with at least 1 year of Financial Data and MI Modelling analyst experience.

The role involves providing analytical support to the business and liaising with other departments internally to successfully distribute/extract pertinent information.

The successful candidate will be involved in:

  • Financial modelling and review of business opportunities
  • Provide analytical and administrative support
  • Management Sales Reporting and tracking
  • Provide financial information, insight, and analysis to management to enable timely and effective decision making.
  • Ad hoc reporting on all elements of trade deals to assist team management with performance, client tenders, and divisional strategy.
  • Cost analysis on the c.1,300 broking team group-wide.
  • Liaise with the data scientist team to extract data from bespoke database, as well as create real-time reports.
  • Analyse, identify and support continuous changes and improvements to broking data.
  • Support the business with broking financial systems.
  • Contribute to key projects and new initiatives.
  • Support other administrative functions including financial analysis of the broking segment.
  • Set up and reporting of Capital and signage spend.
  • Business Intelligence Reporting.

Core / Skill requirements:

  • Developed and proven analytical skills
  • Understanding of economics supporting UK business
  • Financially numerate with strong working knowledge of MS Excel
  • Knowledge of Power BI for data extraction and analysis
  • Excel (to Vlookup/Pivot table standard) is essential
  • Good interpersonal skills (lot of interaction with various business departments)
  • Flexible, as brief may evolve/change
  • Budget aware
  • Work efficiently
  • Work collaboratively with others

Additional Information:

Date: 25 Aug 2023
Sector: FINANCIAL MARKETS
Type: Permanent
Location: London
Salary: £38,500 - £40,000 per annum
Email:
Ref: db4352

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