Address and solve complex business issues using large amounts of data

Have a clear understanding of the end-to-end analytics journey as well as define and deliver the data roadmap

Implement a fact-based culture throughout the bank.

Support key data platform and/or data scheduling jobs to support insights delivery to key audiences (e.g. frontline, other tribes)

Lead, optimise, design and execute business interventions (customers and operational) to uplift customer engagement and business performance

Source data from a variety of sources to combine, synthesise and analyse to generate insights

Continuous generation, monitoring, presenting and conducting of fact-based analysis of relevant customer insights to use at any time for the development and improvement of relevant and innovative propositions

Generate, monitor, present and analyse relevant customer insights, costs, benefits, and risks for customers, clients and cohort products; this could include business casing, what if scenarios and opportunity sizing assessments

Develop tools and methods to fully profile customers and customer segments

7 years experience in data analytics with strong relevant experience as Data Analyst.

Excellent communication and presentation skills

Strong SQL skills and experienced in creating data products / dashboards in Tableau and or QlikSense.

Strong data visualisation skills and and ability to translate data insights into practical business recommendations

Good understanding of concepts in applied probability and statistics

Good quantitative programming skills in Python

Proficient with Jupyter Notebooks

Analytical and inquisitive mindset to continuously improve the level of insight surfaced

Ability to effectively communicate to all stakeholders (technical and non-technical)

Customer Focus – Monitors customer satisfaction and draws on understanding of customer to deliver customer centric solutions

Continuous Improvement Change – Understands, accepts and supports the need for change and adapts own behaviours to changing circumstances and provides input to change projects

Understanding depth breadth of data – Some capabilities to source, join and derive insights from disparate data sources across several domain

Data Mining / Sourcing Skills – Strong analytics capabilities to identify market opportunities using statistical modelling Techniques

Problem Solving – Comprehensive understanding of a range of problem solving techniques

Market / Industry Knowledge – Builds on domain knowledge base

Influence Relationship Building – Uses an understanding of others point of view and empathy to gain buy-in to develop existing relationships and help build new ones

Data Visualisation and story telling – Key understanding of the business strategy and implications on Data and Analytic needs ; Ability to story-tell through Visualisations

Financial/ Business/ Commercial/ Market Acumen – An understanding of Banking and the products, markets, industries, channels and customer segments dimensions and awareness of scenarios modelling optimisation Opportunities