Senior Financial Data AnalystSt. James's Place • Cirencester, England, United Kingdom
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Senior Financial Data Analyst
St. James's Place
- Cirencester, England, United Kingdom
- Cirencester, England, United Kingdom
Über
About the Role
Are you passionate about transforming financial data into actionable insights? Join our Financial Planning & Analysis (FP&A) team and play a pivotal role in supporting the business to make informed decisions. As part of a collaborative and forward thinking environment, you will be at the heart of developing and refining finance data processes, ensuring our financial outputs are accurate, compliant, and drive value across the organisation. What You'll Be Doing
Lead the development and enhancement of FP&A and actuarial data processes to support business-as-usual (BAU) modelling and adapt to changes in the business model. Design and implement improvements within FP&A and actuarial BAU processes, ensuring data feeds into financial models efficiently. Investigate unexpected financial results through detailed data analysis, identifying trends and variations. Support the creation of financial processes and insights by generating queries and analysing complex datasets. Maintain robust controls to safeguard the accuracy of financial outputs and ensure compliance with relevant legislation, regulations, and professional standards. Collaborate with key internal stakeholders to deliver clear, reliable financial data to teams across the business. Contribute to other data-related activities as required, supporting both BAU and project-driven analysis. Who We're Looking For
We are seeking a diligent
and proactive individual who thrives in a data-driven environment. You will be comfortable working with large datasets and have a knack for simplifying complex financial concepts for a variety of audiences. The ideal candidate is a team player who takes pride in their work, builds strong relationships, and champions our organisational values. Essential Criteria
Proficient in SQL and other programming languages (e.g. Python, R). A strong problem solver and able to put forward solutions Excellent communication skills, able to explain complex issues in a clear and accessible way. Strong data analysis skills, with experience handling very large datasets. Desirable Skills
Intermediate computing skills, including Excel Experience with unit linked products, fee structures, and financial data systems Knowledge of actuarial techniques and concepts
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Sprachkenntnisse
- English
Hinweis für Nutzer
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