This is an opportunity to take on a purpose-led role in a cutting edge Data & Analytics team
You’ll be consulting with our stakeholders to understand their needs and identify suitable data and analytics solutions to meet them along with business challenges in line with our purpose
You’ll bring advanced analytics to life through visualisation in a meaningful way for key stakeholders, giving you excellent recognition for your work
We're offering this role at associate level
What you'll do
As a Data & Analytics Analyst, you’ll be using advanced analytics to develop business solutions which increase the understanding of our business, including its customers, processes, channels and products. You’ll be working closely with business stakeholders to define detailed business questions, problems or opportunities which can be supported through advanced analytics, making sure that new and existing processes are designed to be efficient, simple and automated where possible.
As Well As This, You’ll Be
Working in an Agile way within multi-disciplinary data and analytics teams, co-ordinating resources from across the team and the business to achieve agreed project and scrum outcomes
Performing data analysis across large and complex datasets to support model monitoring, risk analytics and CDD decision-making
Delivering data and analytics expertise and solutions, which brings commercial and customer value to business challenges
Communicating data and analytics opportunities and bringing them to life in a way that business stakeholders can understand and engage with, supporting them to select the best approach for the business needs
Supporting data science and model development activities, including data exploration, feature engineering, model testing and performance analysis
Sharing relevant updates with key stakeholders bringing together advanced analytics, data science and data engineering work that is easily understandable and links back clearly to our business needs
The skills you'll need
We’re looking for someone with a passion for data and analytics together with knowledge of data architecture, key tooling and relevant coding languages. Along with proficiency in advanced analytics, you’ll bring an ability to simplify data into clear data visualisations and compelling insight using appropriate systems and tooling . You’ll also have good financial services knowledge, and the ability to identify wider business impact, risk and opportunities, making connections across key outputs and processes.
You’ll Also Demonstrate
Strong knowledge of data management principles
Experience of translating data and insights for key stakeholders
Experience in using tools such as SQL, Snowflake, Python and QuickSight
Knowledge of data engineering, data science and decisioning disciplines
Strong communication skills with the ability to engage with a wide range of stakeholders
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