Problem solving critical client issues using technology to deliver valued results
- Balancing multiple projects and other responsibilities
- Perform large-scale data analysis and develop effective statistical models for segmentation, classification, optimization, time series, etc.
- Build models using standard and advanced statistical techniques - such as logistic regression, multi-nominal regression, agent based modelling, discrete event simulation, CHAID, text mining and clustering analysis.
- Identify actionable insights; suggest recommendations effectively communicating results to stakeholders
Loading, cleansing, transforming, verifying, graphing & visualising and testing client data primarily on MS SQL platform.
Querying and mining large data sets to discover transaction patterns, uncover anomalies and filter for targeted information using MS SQL
- Prepare written analysis and present findings, recommendations and potential raise decision questions to internal and external clients
- Utilize various analytic software tools (SAS, KXEN, SPSS, R) to perform advanced analytics
- Ensure accuracy of results produced as a result of data analysis.
Experienced user of advanced analytic tools such as R, SPSS etc
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