Data Analyst CTI, B&W

Job Title: Data Analyst CTI, B&W

Location: Mumbai HURC

ABOUT UNILEVER

With 3.4 billion people in over 190 countries using our products every day, Unilever is a business that makes a real impact on the world. Work on brands that are loved and improve the lives of our consumers and the communities around us. We are driven by our purpose: to make sustainable living commonplace, and it is our belief that doing business the right way drives superior performance. At the heart of what we do is our people – we believe that when our people work with purpose, we will create a better business and a better world.

At Unilever, your career will be a unique journey, grounded in our inclusive, collaborative, and flexible working environment. We don’t believe in the ‘one size fits all’ approach and instead we will equip you with the tools you need to shape your own future.

JOB PURPOSE

 Recognizing the increasing importance of digital in achieving our ambition, B & W R&D is working on Data analytics workstream. R&D Data analyst will play a key role in analyses of data, building and validating predictive data models and interpretation and exploitation of analysis outcomes, to help drive the B & W CTI superiority programmes.

RESPONSIBILITIES 
· 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.

Data Analysis & Insight Generation
· 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.

ALL ABOUT YOU/EDUCATION 
· Demonstrated fluency in applying statistics methods in scientific research with a 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 - understanding patterns in data.
· 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

STANDARDS OF LEADERSHIP
· Passion for high performance - Generates intensity and focus to motivate people to deliver results at speed.
· Talent catalyst - Inspires powerful teamwork and collaboration, connecting people for better results.
· Agility – constantly exploring and learning, flexing.

Our commitment to Equality, Diversity & Inclusion 

Unilever embraces diversity and encourages applicants from all walks of life! This means giving full and fair consideration to all applicants and continuing development of all employees regardless of age, disability, gender reassignment, race, religion or belief, sex, sexual orientation, marriage and civil partnership, and pregnancy and maternity.