Our Data Analysts use data to build the best customer experiences and love helping to make better business decisions, by using diverse sets of data. We’re looking for brilliant minds who find meaning in structured and unstructured data, with business domain expertise to translate commercial goals into data-based deliverables to solve the world’s most complex challenges. 

About our Digital Channels & Data Analytics (DCDA) team

They support our corporate clients, by creating a more equitable, sustainable, and prosperous future for clients and global communities through technology, data and digital. They’re responsible for being an expert in digital products and services and partner with our sales and coverage teams.

About Corporate & Investment Banking (CIB)  

For more than 170 years we’ve support clients with their transaction banking, financial markets, corporate finance and borrowing needs and provide solutions to nearly 20,000 clients in the world’s fastest-growing economies and most active trade corridors.

Key Responsibilities

Data analysis and visualisation including:

•    Support the development and execution of our data analytics strategy and roadmap.
•    Develop and deploy analytical models to produce analytical solutions and provide insights that support business decisions, including coalition data viewer and expand data viewer.
•    Translate business challenges into statistical problems and data analysis.
•    Use data analysis techniques including trend analysis, regression analysis and the Monte Carlo simulation.
•    Use analytical tools including Azure, Python and SQL to analyse datasets to gain key actionable insights to resolve business problems.
•    Present key findings, insights and business recommendations to stakeholders using data storyboarding and visualisation techniques.
•    Promote analytics-driven decision-making processes across our business to drive awareness of data led decision making and business opportunities.
•    Build and automate data visualisation dashboards using tools such as Tableau and Power BI to enable stakeholder self-service.
•    Partner with stakeholders to identify and optimise analytical tools including Dataiku, Python and Azure.

Skills and Experience

•    Statistical analysis.
•    Agile project management.
•    Big data management and analytics.
•    Data monetisation.
•    Financial mathematics. 
•    Business acumen entry. 
•    Emerging technologies. 
•    Client experience, behaviours and preferences.
•    Financial services regulatory experience.
•    Data governance and management.

Qualifications

NA