Data MI Analyst

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First Name Last Name e-mail Phone Sector Location

Our client is a Global Financial Broking firm in London.

Client Onboarding KYC Associate. 5 days a week in

Administration Assistant - Financial Services

Our client is a Financial Market making company in

Our client is a Wealth and Asset Management firm in

Date: 25 Aug 2023
Sector: FINANCIAL MARKETS
Type: Permanent
Location: London
Salary: £38500 - 40000 per annum
Email:
Ref: db4352

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
• Providing analytical and administrative support
• Management Sales Reporting and tracking
• Providing financial information, insight, and analysis to management for 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.
• Liaising with the data science team to extract data from bespoke databases and create real-time reports.
• Analyzing, identifying, and supporting continuous improvements to broking data.
• Supporting the business with broking financial systems.
• Contributing to key projects and new initiatives.
• Supporting other administrative functions including financial analysis of the broking segment.
• Setting 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 (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