My client are a leading global banking and financial services company who are looking to hire a data analyst to join their team.. The team focuses on project concept exploration and viability testing. The incubator provides an environment for the rapid exploration and evaluation of potential analytics opportunities. They run over an intense 2-4 week cycle with a small project team formed of data analysts and business or operational experts, delivering working models and culminating in a report detailing findings and recommendations.

Key Responsibilities:

• Independent management of the end to end development lifecycle of complex data analysis solutions to deliver high value, business relevant, analytical solutions to programme stakeholders.
• Design, development and deployment of data visualisation solutions to provide insights into business problems.
• Working as part of a data analysis team to identify, propose and develop complex analytical, business relevant solutions, to accelerate business and regulatory change programmes across the bank.
• Use of data analytics and exploratory analysis techniques to identify opportunities for cost reduction, revenue enhancement, operational enhancement, business optimisation etc.
• Ensuring all deliverables and solutions are of an extremely high level of quality, all testing is fully documented and signed-off, and providing quality assurance support to other team members.
• Promoting analytical innovation and collaboration, both within the team, and throughout the wider organisation.
• Utilisation of data science, statistical modelling & machine learning techniques to achieve organisational and project objectives.

Key Requirements:

• Educated to Bachelor’s degree level (or equivalent qualification and industry experience).
• Six years + experience in developing complex data analysis solutions.
• Extensive experience in the development of business relevant analytical solutions in one or more of the following domains: marketing, risk, finance, regulatory, investigations and anti-financial crime is essential
• Experience working with semi-structured and un-structured datasets.
• Experience working in an Agile development environment
• Experience in large scale transformation programmes
• Experience with Python and/or R (and associated data science modules)
• Experience with data science tools such as SAS enterprise miner, RapidMiner, IBM Watson etc.
• Experience with Hadoop, and associated technologies
• Experience with data visualisation tools such as Qlikview/Qliksense, Tableau, Spotfire etc.
• Experience with JavaScript

For more information contact Peter Mulvihill on 01-6854414 or p.mulvihill@masonalexander.ie