Data Analyst - Consumer & Technical Insights

Job Description As a Data Analyst CTI at Unilever, your role will involve working on the Data analytics workstream to support the B & W CTI team. Your responsibilities will include: - Collaborating with the CTI Manager to build a data analytics programme, analyze data, build predictive models, and interpret analysis outcomes. - Providing statistics and data science expertise to deliver the data analytics programme and enhance the data analytics skills within the B & W CTI teams. - Conducting consumer data analysis, correlating consumer and technical data, and performing ML modelling. - Engaging and collaborating with multi-disciplinary teams such as Digital R&D, Formulation, and Appraisal teams. - Ensuring the quality and defensibility of statistical analyses, models, and data interpretation. - Engaging in continuous learning initiatives to stay updated on the latest analytical, statistical, and machine learning methods. In terms of Data Analysis & Insight Generation, your responsibilities will include: - Analyzing consumer research, sensory, usage & attitude, and clinical study data to generate actionable insights for product development and optimization. - Integrating multiple data sources to gain a holistic understanding of product performance. - Identifying patterns, drivers, and trade-offs between efficacy, sensorials, and consumer preference. - Supporting claims development and substantiation through robust data analysis. Qualifications and Experience required for this role: - Master's degree in Statistics, Biostatistics, or equivalent field with demonstrated fluency in applying statistical methods in scientific research. - Expertise in applying statistical methods, Design of Experiments approaches, and data visualization. - Strong technical background in multivariate statistical methods and hands-on experience with data management tools such as Python, R, and Excel. - Proficiency in statistical software like SAS, Python, R, MATLAB, and JMP. - Excellent interpersonal, oral, and written communication skills. - 710 years of experience in data analysis, preferably within FMCG, Beauty category, Consumer Research, or R&D. - Experience in consumer studies, sensory panels, or clinical trials is highly preferred. As a Data Analyst at Unilever, you will be expected to demonstrate the following Standards of Leadership: - Passion for high performance - Inspiring intensity and focus to motivate people to deliver results at speed. - Talent catalyst - Encouraging powerful teamwork and collaboration to achieve better results. - Agility - Constantly exploring, learning, and adapting to drive innovation. Unilever is committed to Equality, Diversity & Inclusion, and encourages applicants from all backgrounds. Full and fair consideration is given to all applicants, and the development of all employees is supported regardless of age, disability, gender, race, religion, sexual orientation, or other characteristics. As a Data Analyst CTI at Unilever, your role will involve working on the Data analytics workstream to support the B & W CTI team. Your responsibilities will include: - Collaborating with the CTI Manager to build a data analytics programme, analyze data, build predictive models, and interpret analysis outcomes. - Providing statistics and data science expertise to deliver the data analytics programme and enhance the data analytics skills within the B & W CTI teams. - Conducting consumer data analysis, correlating consumer and technical data, and performing ML modelling. - Engaging and collaborating with multi-disciplinary teams such as Digital R&D, Formulation, and Appraisal teams. - Ensuring the quality and defensibility of statistical analyses, models, and data interpretation. - Engaging in continuous learning initiatives to stay updated on the latest analytical, statistical, and machine learning methods. In terms of Data Analysis & Insight Generation, your responsibilities will include: - Analyzing consumer research, sensory, usage & attitude, and clinical study data to generate actionable insights for product development and optimization. - Integrating multiple data sources to gain a holistic understanding of product performance. - Identifying patterns, drivers, and trade-offs between efficacy, sensorials, and consumer preference. - Supporting claims development and substantiation through robust data analysis. Qualifications and Experience required for this role: - Master's degree in Statistics, Biostatistics, or equivalent field with demonstrated fluency in applying statistical methods in scientific research. - Expertise in applying statistical methods, Design of Experiments approaches, and data visualization. - Strong technical background in multivariate statistical methods and hands-on experience with data management tools such as Python, R, and Excel. - Proficiency in statistical software like SAS, Python, R, MATLAB, and JMP. - Excellent interpersonal, oral, and written communication skills.