Location: Briefing to take place at the office in Central London, Sample checking to be completed remotely/ from home.
Additional requirements: This role requires you to have access to a laptop/ desktop & excellent Excel skills!
The role: The project manager will brief you on how to do the sample checking in the briefing. Because of the nature of the project, it does require you to have a keen eye for detail, and to be able to handle large amount of data, and work through them in a systematic manner.
In summary you will be checking:
Is it a merchant that accepts payment from the general public (we need to remove any sample that only sells to businesses or does not accept any payments)?
For each merchant – is it listed under the correct category (we will brief you on this)
The aim of the project is to provide our client with an accurate measure of credit card acceptance across a number of different industry sectors in a number of countries and cities across the world. The sample is supposed to be based on B2C merchants i.e. merchants that sell to the general public (not B2B).
Ensuring sample looks representative
One of the key challenges is providing reliable and representative sample for interviewing to ensure that our sample of, say, grocery stores in the UK is truly reflective of grocery stores in the UK.
For example, if we have a sample of 1,000 grocery stores to be called, we need to be sure that it is reflective of what a random sample of grocery stores in the UK would look like in reality (i.e. likely to include a few supermarkets but primarily small stores such as butchers, bakers, off licences etc.)
Are there any big brands missing that should be in there (i.e. have lots of outlets across the UK e.g. Boots should be included under store front but John Lewis could be missing as it only has c30 locations). And if within that sample we have 20 supermarkets, does it look like we have a mix of Tesco, Asda, Sainsbury etc. So we need to check that the sample looks sensible with a mix of store types, a mix of chains vs independents and a sensible geographical coverage (e.g. there should be a lot more grocery stores in Greater London than in Belfast!).
We do this sort of checking ourselves but it would be good for those checking the sample to look out for this too.