Senior Data Analyst - Statistics and Market Research

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.

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.

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.