Hybrid Quantitative Research Manager – Sampling & Survey Methodology

Ipsos in the UK

Manchester

Hybrid

GBP 55,000 - 75,000

Full time

34 hours ago
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Benefits offered by this job

25 days annual leave
Pension contribution
Income protection and life assurance
Health & wellbeing

Job summary

Ipsos in the UK is recruiting a Quantitative Research Manager for its Probability Surveys Unit. You will design sampling frames for KnowledgePanel, draw random probability samples, and support weighting methods on large government-focused surveys.

The role involves explaining complex methods to clients and shaping methodological innovations. The position requires a strong background in survey research, experience with SPSS/R/Stata, and the ability to lead junior staff while collaborating across

Qualifications

  • Strong grounding in survey research methods and quantitative principles.

Responsibilities

  • Design sampling frames for KnowledgePanel and run probability samples.
  • Support PSU to deliver large, complex probability surveys with weighting and methodology.
  • Collate population data from official statistics for weighting.
  • Write concise technical reports with objectives, challenges and solutions.
  • Explain complex methods to clients and non-technical colleagues.
  • Guide junior staff to develop methodological and statistical skills.
  • Lead innovation to improve processes and quality.

Skills

Survey methodology
Weighting methods
Statistical software

Education

Quantitative degree

Tools

SPSS
R
Stata

Job description

Ipsos in the UK is recruiting a Quantitative Research Manager for its Probability Surveys Unit. You will design sampling frames for KnowledgePanel, draw random probability samples, and support weighting methods on large government-focused surveys.

The role involves explaining complex methods to clients and shaping methodological innovations. The position requires a strong background in survey research, experience with SPSS/R/Stata, and the ability to lead junior staff while collaborating across

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