• Lead data analytics efforts on key global projects, providing expert guidance to local teams on data modelling, statistics, and machine learning to develop effective solutions and simulators.
• Simplify and clearly communicate complex analytics, ensuring that insights are compelling and easily understood by non-technical audiences.
• Collaborate with Data Scientists globally to create, refine, and enhance methodologies for our analytic solutions, ensuring they meet the organization’s evolving needs.
• Conduct in-depth investigations to validate and improve methodologies, deploying more effective approaches when necessary.
• Work with diverse datasets, utilizing tools like R, Python, and SQL to clean, manipulate, and analyse data, ensuring accuracy and relevance.
• Leverage technology to develop and present data-driven insights through dashboards, markdown, and other tools, effectively influencing decision-making.
• Develop software packages that adhere to industry best practices, ensuring robustness and reliability in solutions delivered.

• University Degree (Bachelor’s or Master’s Degree) in Statistics, Mathematics, Computer Science, Engineering or equivalent fields.
• Business proficiency in English (B2 Level Minimum Required).
• 1-2 years of demonstrable experience in Data Analytics and Data Science oriented roles.
• Advanced programming skills in Python or R, with practical experience using Git. You should be able to solve complex problems programmatically, as this will be assessed during the interview process.
• Proficient in applying a range of statistical and machine learning techniques, including regression, classification, clustering, and dimensionality reduction, with a solid understanding of both classical methods like PCA and linear regression as well as modern techniques such as boosted trees and t-SNE.
• Demonstrated ability to deliver analytical solutions, supported by a portfolio of projects where you’ve addressed and solved specific problems.
• Capable of handling both detailed analytics and strategic business perspectives, easily transitioning between technical specifics and broader business strategies.
• Excellent communication skills, with the ability to clearly explain complex technical information to non-technical stakeholders.

• Inquisitive, with critical thinking, and demonstrate a genuine passion for consumer behaviour.
• Enjoys actively looking for new and more efficient ways of improving processes, raising standards, reducing errors, and overcoming omissions.
• Is proactive, optimistic, and willing to get involved to achieve the team's goals and objectives.
• Is highly collaborative and adaptable with the ability to work effectively within different cultural and technical environments.
• Possesses outstanding communication and interpersonal skills in order to comfortably connect with partners at all levels across the organization and facilitates discussions in a constructive manner.

• Previous professional experience with a Cloud Services platform (Azure/AWS/GCP) and infrastructure – preferably MS Azure.
• Experienced working within Agile Methodologies (SCRUM/KANBAN Frameworks).
• Familiarity with R Shiny, Angular, Azure Databricks, Spark, Docker or Kubernetes.

• 1st Stage – Screening interview with Talent Acquisition.
• 2nd Stage – Technical interview with Stakeholders.
• 3rd Stage – Final Meeting with Hiring Manager.

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