Financial Data Analyst

Client Onboarding KYC Associate and Senior HR Manager with Financial Services experience are not relevant to this job posting.

We are looking for a Financial Data analyst with Power BI experience. A Degree in a numerate or analytical discipline with at least 12 months experience post graduate work experience.

This role is part of a team of four in our client's Business Intelligence team in Canary Wharf, London. This is an office-based position.

• The role will involve working within the Strategy & Business Intelligence Department to provide analytical support and liaise with other departments internally to successfully distribute/extract pertinent information.
• The successful candidate will work very closely with back office functions in order to fulfil this role. As such a high level of interpersonal skills combined with a sound analytical approach to decision making will be advantageous.
• Develop and deliver BI driven reporting which accommodate the different levels within the organization at a reporting frequency that support timely decision making.
• Provide thoughtful analytical based insights to help Europe Commercial arrive at more informed business decisions.
• Utilise available data warehouses and data mining tools to spot trends and highlight potential opportunities.
• Support the development and implementation of new BI tools as we build capability to understand our data.
• Support in the delivery of the annual budget, including preparation of budget templates, co-ordinating across functions to ensure on time delivery, and provision of reports.
• Support the delivery of tailored data analysis to key individuals and teams within the organization and the development of reports to colleagues and senior management summarising performance measurement versus key metrics.
• Provide analytical capability cross functionally when needed.
• Financial modelling and review of business opportunities.

• Developed and proven analytical skills.
• Understanding of economics supporting UK business.
• Financially numerate and advanced Excel skills.
• Proficient in Power BI.
• Knowledge of SAP / BW for data extraction and analysis.
• Good interpersonal skills.
• Flexible, as brief may evolve / change.
• Budget aware.
• Work efficiently.
• Work collaboratively with others.