Main Responsibilities

• Conduct hands on modeling/ advanced analytics retrieving, compiling, and analyzing data from various sources into distilled, actionable information. Major model types include time series sales analysis and logistical regression analysis.
• Assist in the delivery of modeling projects throughout the process from data collection, data cleaning and modeling to presentation. Develop recommendations and clearly communicate results of analysis to internal / external teams.
• Identify opportunities to leverage analytical tools and platforms (E.g., R, SQL, VBA) to achieve better efficiency / automation of the workstreams within MSU team.
• Actively mentor and help to develop other team members

There are two primary KPIs for this role:

• Timely delivery of data analysis, reports and presentations
• Help to create and promote an analytics culture within the team

Background Requirements

• Educated to degree level in a numerical or marketing discipline.
• Between 3 and 4 years work experience in a business consultancy, market research or data analysis role.
• Fluent in English
• Proficient in the use of Microsoft Office, especially Excel and PowerPoint. Familiar with one or more of R, Python or SAS. VBA is also favourable.
• An in-depth understanding and prior application of econometrics would be particularly valuable.