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Financial data analyst

London
Taylor James Resourcing
Finance data analyst
Posted: 18 July
Offer description

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 of post-graduate work experience is required.

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


Responsibilities:

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 closely with back office functions in order to fulfil this role. A high level of interpersonal skills combined with a sound analytical approach to decision making will be advantageous.


Key Responsibilities:

1. Develop and deliver BI-driven reporting that accommodates different levels within the organization at a reporting frequency that supports timely decision making.
2. Provide thoughtful analytical insights to help the Europe Commercial team arrive at more informed business decisions.
3. Utilize available data warehouses and data mining tools to spot trends and highlight potential opportunities.
4. Support the development and implementation of new BI tools as we build capability to understand our data.
5. Assist in the delivery of the annual budget, including preparation of budget templates, coordinating across functions for on-time delivery, and provision of reports.
6. Deliver tailored data analysis to key individuals and teams within the organization and develop reports summarizing performance measurement versus key metrics.
7. Act as a resource to provide analytical capability cross-functionally.
8. Conduct financial modeling and review of business opportunities.


Core / Skill Requirements:

1. Developed and proven analytical skills.
2. Understanding of economics supporting UK business.
3. Financially numerate with advanced Excel skills.
4. Proficient in Power BI.
5. Knowledge of SAP/BW for data extraction and analysis.
6. Good interpersonal skills.
7. Flexible, as brief may evolve/change.
8. Budget aware.
9. Ability to work efficiently and collaboratively with others.
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