Job ID: PRJ-DXB-2266
Department: Projects
Job Type: Permanent
Location: Dubai
Job Details
Timesworld is seeking a Senior Data Analyst with strong statistical expertise and practical experience in market research and panel-based surveys. The role involves designing analytical approaches, assuring survey data quality and translating findings into clear, actionable insights for clients.
Key Responsibilities
- Contribute to and guide research design, questionnaire development, sampling plans and sample size calculations.
- Analyse market research, customer experience, satisfaction, opinion poll and panel-based survey data.
- Clean, validate and prepare datasets, including checking missing values, inconsistent responses, outliers and duplicate records.
- Assess panel response quality, including speeding, straight-lining, respondent eligibility and potential survey fraud.
- Develop and apply weighting approaches, assess representativeness and explain sampling limitations and potential bias.
- Prepare cross-tabulations, significance tests and subgroup comparisons using appropriate statistical methods.
- Apply techniques such as regression, segmentation, factor analysis and driver analysis where suitable.
- Analyse repeated survey waves, tracking studies and panel trends.
- Produce clear charts, dashboards, analytical reports and client presentations.
- Work with research and fieldwork teams to monitor quotas, resolve data issues and maintain analytical accuracy.
Requirements (Qualifications/Experience/Competencies)
- Bachelor’s or master’s degree in statistics, applied statistics, mathematics, econometrics or a related quantitative discipline.
- At least 3 years of hands-on experience analysing market research and panel-based survey data.
- Strong understanding of sampling, weighting, hypothesis testing, confidence intervals and multivariate analysis.
- Proficiency in SPSS and/or R or Python for statistical analysis.
- Strong Excel skills and experience working with survey datasets and respondent-level data.
- Ability to distinguish statistical significance from practical business relevance.
- Strong written communication and the ability to explain findings to non-technical audiences.
Preferred
- Experience with online research panels, longitudinal studies and multi-country surveys.
- Knowledge of SQL and visualisation tools such as Power BI or Tableau.
- Familiarity with research quality standards and ethical handling of respondent data.