Data Analytics Manager

Location: Dublin City Centre. Type: Permanent. Salary: Negotiable. Reference# DH100115

DHRP’s client a leading consulting firm are looking to recruit a Data Analytics Manager. This is a new strategic role within their Forensics team. The ideal candidate will have an ability to actively establish, maintain and strengthen internal and external relationships and must actively contribute to improving operational efficiency on projects and internal initiatives


  • Reactive and proactive forensic analysis of structured and unstructured data
  • Database management software, statistical and predictive machine learning software and link analysis / data visualization software
  • Data collection and load, data quality assessment, data cleansing and enhancing, complex data transformation, relationship profiling, sampling and extrapolation, segmentation, statistical modelling, segmentation, structured data mining, text mining and analytical matching
  • Statistical analysis and modelling tools such as SAS, SPSS, Statistical, S-plus or similar packages, data manipulation language such as SQL
  • Predictive modelling technologies such as SAS Enterprise Miner, KXEN, SPSS Clementine, SQL Server 2005 data mining extensions, Register Machine Learning Genetic Programming engine and/or other similar suites of tools
  • Data from accounting systems application such as SAP, Oracle / PeopleSoft, JD Edwards, MFG Pro, Extensity, Sage, Coda or other similar ERP applications
  • Helping clients leverage knowledge from their data for measurement of fraud risks and losses, prevention, continuous monitoring, detection and investigation of occupational fraud, waste and abuse, financial crime and other non compliant activities
  • Liaising with clients, internal and external auditors, in-house counsel, external legal teams, witnesses, police, criminal prosecutors and regulatory enforcers
  • Multi-National /cross border or jurisdictional investigations


  • Strong academic record including a degree/MSc/PhD degree in either
  • Computer Science / Engineering with course work / dissertation in data analytics / data mining subject matter such as supervised predictive modelling (machine learning, genetic programming) or unsupervised pattern detection (Bayesian inference, compression neural networks)


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