MI Data Analyst
Wrexham, England, United Kingdom
MI Data Analyst
Wrexham - Hybrid
6 Month Fixed Term / Permanent
Join our CLM (Client Lifecycle Management) team as a Data Analyst. You will be passionate about data, analytics and applying insights into our leading financial services clients. This is also a great opportunity for a commercially minded and driven individuals to help build out our expanding practice.
Requirements
Key responsibilities:
- Exhibit a strong passion for data and its pivotal role in our clients' businesses.
- Maintain a forward-thinking approach to data and analytics while respecting the legacy systems of some of our top-tier clients.
- Utilise Excel and various data analytics tools to collect, clean, and analyse large datasets.
- Generate comprehensive monthly and weekly reporting packages for the operations teams.
- Design and maintain data visualisations, dashboards, and reports to effectively convey findings to stakeholders.
- Perform ad-hoc data analysis and offer actionable recommendations to support business objectives.
- Develop and implement data models, algorithms, and statistical techniques to extract insights and address complex business challenges.
- Collaborate with cross-functional operations teams to identify data requirements and drive data-driven decision-making.
- Identify trends, patterns, and opportunities for process improvement through thorough data analysis.
Essential Skills & Experience:
- Bachelor’s degree in a related field (Finance, Mathematics, Computer Science etc.)
- Experience within Financial Services desirable
- Strong proficiency in Excel, including advanced functions, pivot tables, and data manipulation, VBA
- Strong proficiency in Power Point to support creation of MI reporting packs for senior stakeholders
- Proficiency in programming languages such as Python or SQL
- Expertise in data modelling and visualisation using tools such as Power BI (Business Intelligence), Tableau or Alteryx desirable
- Experience in analytics, including the ability to review and present insights from large, complex data sets using software such as Alteryx or DI (Document Intelligence) desirable
- Effective communication and presentation skills to convey complex data insights to non-technical stakeholders.
- Strong client engagement and stakeholder management experience
- Domain expertise in one or many areas of Financial Services, including Investment Banking, Retail Banking, Commercial Banking or Wealth and Asset Management desirable
How We Work:
Delta Capita is an equal opportunity employer. We positively encourage applications from suitably qualified and eligible candidates regardless of age, colour, disability, national origin, ancestry, race, religion, gender, sexual orientation, gender identity and/or expression, veteran status, genetic information, or any other status protected by applicable law.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. If you require any reasonable adjustments through your interview process, please use the designated space within the application questionnaire.
This is a fixed term position located in Wrexham, UK with hybrid working. As the selection and interview process is ongoing, please submit your application in English as soon as possible, if your profile is selected, a member of our team will contact you within 4 weeks.
Who We Are:
Delta Capita Group (a member of the Prytek Group) is a global managed services, consulting and solutions provider with a unique combination of experience in Financial Services and technology innovation capability. Our mission is to reinvent the financial services value chain providing technology based mutualized services for financial institutions for non-differentiating services.
To know more about Delta Capita and our culture click here: Working at DC - Delta Capita.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Banking Business Intelligence Computer Science Consulting Data analysis Data Analytics Excel Finance Mathematics Power BI Python SQL Statistics Tableau
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