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    Data Analyst - Cardiff, United Kingdom - Principality Building Society

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    Description

    From a friendly and inviting environment to a flexible benefit package designed around you – when it comes to belonging, there really is no place like Principality.

    We keep it flexible wherever possible; we do our bit in the communities we serve and support you in doing the same, and we promise to get better together .

    we have an award-winning flexible/hybrid working policy, we're a 2022 winner of UK Best Large Workplaces for Women, we have a newly refurbished hi-tech office in the centre of Cardiff designed around colleague feedback, we ranked number 6 for wellbeing in 2022, we have an extensive financial and well-being benefits package ''Belong'' designed to put our people first, we have consistent colleague engagement scores of over 85% and a caring community of supportive Networks.

    An exciting time to join the Planning & Performance team, with significant investment made to elevate the long-term financial planning and analysis capability in the organisation.

    The primary purpose of the role is to work in a dedicated financial modelling team to design, build, and implement new financial forecasting capability as part of an ambitious programme to make improvements in multiple areas of our forecasting estate.

    The role combines financial expertise with technical proficiency to create accurate and reliable models that facilitate strategic insights and drive business performance.

    The successful candidate with collaborate with stakeholders across different departments to understand their modelling needs and requirements, utilising advanced Excel functionality, financial modelling software, and programming languages (such as VBA, SAS, Python, or R) to build robust and scalable models.

    The role is pivotal to linking strategic objectives to the corporate planning process, support decision making and manage risk through non-IRB forecasting.

    Taking complex financial concepts and translating them in a straightforward manner through excellent communication skills is a key requirement.

    building and maintaining complex financial models.
    Excel skills
    to extract, manipulate and analyse data from databases.
    to create data models and improve processes through efficient use of coding language highly desirable (e.g. SQL, VBA, SAS, Python, R etc)
    experience in financial services is desirable but not essential.

    ''We are passionate about creating an inclusive workplace where diversity is celebrated and where colleagues feel a sense of belonging'' Daniel Priest, Inclusion Manager.

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