Data Analyst - MI

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The role of the Data Exploitation & MI team is to produce MI solutions and reporting from a range of complex data sources to support Risk & Operations stakeholder needs. This information is used to enable understanding about Risk strategy performance including whether changes to Risk strategy are required. This information is also used to enable Operations to have the appropriate depth of understanding around Partner processes and customer activity.Client DetailsLeading Financial Services Organisation DescriptionGeneration of key management information to support business direction setting and ensure key metric objectives (e.g Risk Appetite) are being met.Responsible for implementing MI automation solutions and self-service options across Risk and Operations.Use tools such as SQL, Excel, Power BI and SAS to manipulate data and produce reports/dashboards.Identify and implement technical and operational solutions to improve overall efficiency and control levels.Develop new MI & Insight to support stakeholder needsApply commercial acumen to interpret results and produce actionable recommendations.Demonstrates ideal behaviours whilst carrying out all aspects of role.Manages self to ensure adherence to company risk and compliance policies and relevant external regulatory frameworks.ProfileInquisitive nature to support a culture of challenging existing practice.Effectively work with colleagues within the team and across partnering business functions such as Risk Portfolio Management, Technology & Platforms, FSS and Mortgage Services. This will be across MI production, defect/issue management and project work support.Ability to work on their own initiative, identifying areas of focus and prioritising of own workloads as necessary.Good networking skills with the ability to build ongoing collaborative relationships.Good communication skills with the ability to present data to a non-technical audience.Ability to develop self and quickly learn new skillsExcellent problem-solving skills with a logical approachAbility to manage own time effectively, balancing priority of delivery and escalates in a timely manner when required.Candidate must have a minimum 2:1 degree in a subject with numerate components with evidence of data analysis component in the course (for example Computer Science, Statistics, Maths, Science or Business disciplines) with previous work experience/work placement in financial services or a data analytics role being an advantage.Should the candidate not meet the degree requirement they need to demonstrate strong evidence of relevant data/analysis work experience within a financial services or a data analytics role.A desire to learn new technical and programming skills is essential.Ability to use Excel at an intermediate level (formulas, pivot tables) is essential.Prior experience in a programming language (such as SQL) is an advantagePrevious experience in using reporting dashboards or data visualisation tools such as Power BI is beneficialPrevious experience using VBA would also be an advantage.Job OfferOpportunity to join a leading UK Financial Services CompanyOpportunity to enhance data analysis and IT skills