Data Analyst CTI, B&W

• Working together with the CTI Manager, to build data analytics programme to support B & W CTI team through the analyses of data, building and validating predictive models and interpretation and exploitation of analysis outcomes
• Provision of statistics, data science expertise to deliver data analytics programme and build skills and capability of data analytics in B & W CTI teams
• Consumer data analysis, consumer and technical data corelation and ML modelling
• Engagement and collaboration with multi-disciplinary teams (Digital R & D, Formulation, Appraisal teams.)
• Responsibility for the quality and defensibility of statistical analyses, models, and data interpretation
• Engagement in continuous learning initiatives to keep abreast of state of the art analytical, statistical and machine learning methods
• Analyse consumer research, sensory, usage & attitude, and clinical study data to generate actionable insights for product development and optimization
• Integrate multiple data sources (consumer, clinical, instrumental, market) to build a holistic understanding of product performance
• Identify patterns, drivers, and trade-offs between efficacy, sensorials, and consumer preference
• Support claims development and substantiation through robust data analysis

• Masters in Statistics, Biostatistics or equivalent (Data science, Mathematics or Statistics discipline)
• Demonstrated expertise in applying statistical methods in scientific research
• Experience of applying statistical Design of Experiments approaches
• Hands-on technical expertise in data visualization
• Strong technical background in multivariate statistical methods
• Experience in data management using Python, R and Excel
• Hands-on experience with professional statistical/modelling software such as SAS, Python, R, MATLAB and JMP
• Strong interpersonal skills, oral and written communication skills
• Ability to collaborate and consult effectively in teams
• 7–10 years of experience in data analysis, preferably within FMCG, Beauty category, Consumer Research, or R&D

Experience working with consumer studies, sensory panels, or clinical trials is highly preferred