L4 Data Analyst Apprentice (Critical Research)
A Data Analyst (DA) delivers the technical aspects of market research projects, often several at a time. This involves programming of survey materials in specialist software, handling and manipulation of qualitative and quantitative information, management of data collection processes and data analysis. The role can be client-facing too; hence the DA also requires an understanding of working in a business services industry and providing deliverables to clients on budget and on time.
DAs implement technical aspects of the research process, including questionnaire scripting, analysis scripting and database management, hence a prior understanding of software programming can be beneficial to the role. Additionally, the DA is involved in ensuring the research fulfils the client needs.
Initially the role is to support senior research managers and directors in survey management. Success at DA level is progression to manage other research elements and other analysts in a team.
Training Outcome:
This role offers the potential for a permanent position upon successful completion of the apprenticeship, contingent on performance.
Employer Description:
London-based market research agency, Critical Research, is one of the leading independent research agencies in the UK. We are extremely passionate about the work we do, and our priority is to always exceed our clients’ expectations. We work in partnership with our clients to fully understand their needs, aims, and objectives and get the answers to the questions they are trying to find out. Our projects span from the simplest small scale to complex international, delivering insights to organisations through a multitude of methods, including b2b and b2c. We have all the fieldwork methodologies in-house, data processing, and data analysis, working alongside our research experts to extremely high, recognised standards and supported by our stringent quality procedures.
Working Hours :
Monday to Friday, 9.00am - 5.00pm.
Skills:
Communication skills,Attention to detail,Organisation skills,Presentation skills,Highly numerate,Experience of handling data,Prioritise effectively,High level of accuracy,Self motivated,Commitment