Consumer Research & Data Analyst

  • Location London, United Kingdom
  • Date Posted 29th January 2018
  • Category Research
  • Job Type Full-time
  • Requisition ID 446

Description

We are looking for a Consumer Research & Data Analyst with an interest in quantitative consumer research to join Mintel's Consumer Research & Data Analytics team. The role will suit someone who already has good knowledge of designing surveys, using SPSS and providing analysis of data. You will be working as part of a global team that provides a first class level of quantitative consumer analysis and insight to the annual schedule of Mintel’s consumer reports within the food & drink, leisure, media and technology, retail, finance and beauty sectors.

This role will require working closely with one or more of Mintel’s in-house analyst teams managing their research projects from questionnaire design through fieldwork and data analysis.

The responsibilities

Designing quantitative consumer surveys:  Working with report managers to design insightful consumer questionnaires across a variety of markets to meet research objectives.

Managing supplier relationships: Liaising daily with internal and external suppliers ensuring research is conducted on budget and to schedule.

Analysing data: Using a wide range of research tools in SPSS to analyse and tabulate quantitative consumer research data.

Working with other Mintel teams: Providing expertise in consumer research and offering statistical support.

Maintaining internal databases: Gathering market data through secondary research.

Who we are looking for:

The successful candidate will have:

  •  At least 1 years previous experience or internship in a market research
    role
  • Bachelor’s degree with a minimum of 2:1.
  • Knowledge of designing and analysing quantitative consumer questionnaires and data.
  • Knowledge of SPSS (or similar statistical software).
  • Knowledge of /interest in qualitative research techniques.
  • Great organisational/time management skills.
  • The ability to communicate difficult concepts in a clear, straightforward way.
  • Some experience with secondary data sources, such as industry or government data.
  • A high degree of numeracy.
  • Fluency in spoken and written English.
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