Job Location : London, UK
Finance Data Analyst
London Hybrid
£80,000 per annum
We have partnered with a global media business who are looking to appoint a passionate finance data analyst to sit within the FP&A team. This individual will be comfortable with dealing with large sets of data as well as partnering with global teams to ensure the information is received on time. If you have proven experience within a finance team and are comfortable compiling and cleaning large data sets, building analytical models, comfortable with validation tools and building comprehensive dashboards, then this is the perfect opportunity for you!
Responsibilities:
Collect and compile information from various internal databases and systems across the regions
Create and maintain financial models to support the forecasting and budgeting process including the validation process
Provide insight on variance analysis and trend identification
Partner with various regions to get information required from various data sources
Collate and consolidate data to ensure accurate financial analysis
Create useful dashboards to ensure clear visibility for FP&A purposes
Database management and monitoring
Support to senior leadership with board decks and leadership updates
Actively contribute to operational improvement projects linked to process analysis, solution design, implementation plans, training and communication.
Qualifications and experience:
Relevant qualification
3-5 years' experience in finance and/or accounting
Proven experience dealing with large datasets in complex environments
Strong proficiency in financial modelling and data analysis
Strong knowledge of accounting principles, financial metric as well as forecasting and budgeting processes
Systems experience - Netsuite, Snowflake, Workday, Salesforce and G-Suite
Visual analytics tools - Tableau
Advanced excel
Experience organising and analysing large data sets from multiple sources.
The client operates a hybrid working model with 2 days in the office and 3 days from home.
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Salary : 80000 - 90000
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