Decision Data Analyst
2 weeks ago
This post represents an exciting opportunity to contribute to the development of analytical strategy and modelling capability within highly commercial business function.
The business is looking at exceptional level analytical graduates, whom have excelled academically within Mathematical Sciences, Statistics, Operational Research or Economics (or equivalent). Any commercial experience through a placement year or post universityin a data/analytical driven post will be highly advantages.
**Responsibilities**:
- Utilise data analysis and data mining techniques to help the business understand customer intelligence, credit risk and price propositioning
- Specifying, implementing and maintaining databases in support of the statistical model development and monitoring.
- Performing detailed and well documented analysis to support the development of the models.
- Contribute to highly analytical scenario modelling to drive gross margin performance
- Support the business analytically on monthly performance reporting
- Communicate complex MI to a non-statistical audience, present conclusions from analysis to enhance decision making with stakeholders
**Requirements**:
- Degree qualification in Mathematics or Statistics (2;1 or above from a leading University)
- Further MSc in related discipline advantageous
- Exceptional attention to detail with analytical mind-set
- Good knowledge and understanding of general statistical modelling (Logistic and Linear Regression, Scorecard development, Reject Inference) and related stats (Gini, information value, K statistic, R squared, population stability etc.).
- Team player, evidence of working in a fast-paced team environment whilst also demonstrating high levels of initiative
- Sound knowledge of MS Excel, demonstrating the ability to manage, manipulate, interrogate and report on complex data
- Further knowledge / experience of data analysis tools and technologies (i.e. VBA, SPSS, SAS, R, Python) - beneficial
**In Return**:
- Competitive starting salary with exceptional commercial learning opportunities
- Exposure to leading analytical tools, techniques and methodologies
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