Door-to-Door Market Research Interviewer - Flexible Hours in Edenderry

Door-to-Door Market Research Interviewer - Flexible Hours in Edenderry

Edenderry Part-Time 10.8 - 13.2 Β£ / hour (est.) No working from home possible
Ipsos

At a Glance

  • Tasks: Conduct engaging doorstep surveys and gather valuable insights from local households.
  • Company: Ipsos, a leading market research company with a focus on community engagement.
  • Benefits: Flexible hours, training provided, and mileage reimbursement for travel.
  • Other info: Perfect for students looking for part-time work with a dynamic schedule.
  • Why this job: Meet new people, gain experience, and contribute to important market research.
  • Qualifications: Sociable individuals who enjoy talking to others and can commit to flexible hours.

The predicted salary is between 10.8 - 13.2 Β£ per hour.

Ipsos is hiring a Field Market Research Interviewer to conduct doorstep surveys across local neighbourhoods.

You will visit selected households for scheduled 6-hour shifts, collecting responses on a tablet provided by Ipsos.

Training is provided to help you approach people confidently, with mileage reimbursement for travel.

Ideal candidates are sociable, enjoy talking with people, and can work a flexible schedule that includes weekdays and weekends (at least 12 hours per week).

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Door-to-Door Market Research Interviewer - Flexible Hours in Edenderry employer: Ipsos

Ipsos is an excellent employer that values its employees by providing a supportive work culture and opportunities for professional growth. Based in Dartford, Kent, our team enjoys a collaborative environment where every voice is heard, and we offer competitive salaries along with comprehensive benefits to ensure a rewarding career in market research.

Ipsos

Contact Details:

Ipsos Recruitment Team

We think you need these skills to ace Door-to-Door Market Research Interviewer - Flexible Hours in Edenderry

Sociability
Communication Skills
Flexibility
Time Management
Interpersonal Skills
Survey Administration
Data Collection