JOB: Senior Data Analyst (PhD with 5 years+ commercial experience)
Location: Dublin, Ireland
European leading provider of financial crime solutions to the global financial services industry, is looking to further increase its Professional Services team.
Their solutions enable organizations to detect and combat financial crime, reducing their operational losses, and addressing the industry's ever-changing compliance and regulatory requirements. They provide a portfolio of financial crime solutions, which include products for Anti-Money Laundering, Fraud Detection & Prevention and Name Matching.
They currently have a vacancy for a Senior Data Analyst in their Dublin Office. Working within the Professional Services Group, this individual will take the lead role within a project team for the successful delivery of analytical assignments using leading edge data-mining and analysis technologies in a fast growing and dynamic environment.
He/she will be commercially aware and have the necessary client facing skills to be comfortable in supporting business development activities such as client presentations and workshops.
Responsibilities
a.. Derive maximum value and return on investment through the derivation of actionable business insights from the analytical and related business intelligence solutions they design and deploy.
b.. Play a lead role in the delivery of analytical solutions to Clients as well as driving improvements and efficiencies into the standardized processes used by the company in the delivery of analytical assignments.
c.. Support consultancy and sales efforts with knowledge of data analysis, statistics and analytical methods. The person would be required to deal with senior levels and statistical experts in the customer organisation, and be comfortable in defending his/her position and challenging the ideas of others.
d.. Work with the Engineering team to develop further the analytical capabilities of their product line in the areas of financial crime detection and prevention and marketing automation.
Essential Requirements
a.. At least five years experience in an applied commercial advanced data analysis environment. In-depth knowledge and understanding of contemporary predictive modelling techniques, approaches to customer segmentation, link analysis, modelling automation and marketing optimisation would be an important asset.
b.. Strong background in financial services preferably in marketing and credit card marketing
c.. Master's or PhD in economics, econometrics, statistics, mathematics, or business studies. (Other degrees with extensive applied application experience are welcomed and encouraged).
d.. Excellent interpersonal skills and an 'ability to think on his/her feet', ability to engage and to effectively communicate with both the business and analytical community.
e.. Able to show a highly developed appreciation and proven experience of the application of data analysis techniques to commercial situations and be skilled in a number of statistical techniques
f.. Strong business appreciation well capable of translating analytical results into business insights for Client organisations to act upon i.e. seeing the "so what" factor which translates analysis results into actionable business insights for the Customer.
g.. Relevant experience of leading delivery work of analytical solutions within a project team.
h.. Ability to take on projects and see them through to completion.
Familiarity with Data Warehouses and other structured data repositories.
a.. Desire to learn new data analysis tools and techniques and to work as part of a delivery focused multi- disciplined, multi-sector team.
Desirable
a.. In-depth experience with at least one business sector such as banking (preferred), telecommunications or insurance and have a deep understanding of the data models associated with these sectors.
b.. Experience in using industry standard packages such as SPSS, SAS, Unica etc.
c.. Skilled in techniques such as multiple linear regression, tree analysis, neural nets, case based reasoning and their application to real-world business problems.
d.. Experience of working with the Data Warehouse team Familiarity with data warehousing.
e.. Willingness to travel is required.
For more info, please contact Rachel at 00353 87 900 2177 or email cv to [log in to unmask]
Kind regards,
Rachel Dunne (B.Soc.Sc. M.A.)
IT Recruitment Specialist
-----------------------------------------------------------------------
IT Staff Ltd, Horsefield, Newcastle, Co. Wicklow
(A Division of CSL Search and Selection)
t: 01 2811000 f: 01 2811342 m: 087 900 2177
[log in to unmask] www.itstaff.ie
-----------------------------------------------------------------------
|