Graduate Data Analyst - (Mathematics l Economics l Statistics)

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, who have excelled academically within Mathematical Sciences, Statistics, Operational Research or Economics (or equivalent). Any commercial experience through a placement year or post university in a data/analytical driven post will be highly advantageous.

Responsibilities:

• Utilise data analysis and data mining techniques to help the business understand customer behaviour, revenue performance and identify commercial opportunity
• 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.
• Apply Mathematical Modelling and Statistical analysis to segment customer groups accordingly
• 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
• Knowledge and understanding of general statistical modelling
• 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 learning opportunities
• Exposure to leading analytical tools, techniques and methodologies

Central Birmingham location (2 days per week) - hybrid working.

Apply now for further job / interview details