Your mission, should you choose to accept it:

• Lead and define the Advanced Analytics strategy, ensuring alignment with the Group Data Strategy through the effective use of predictive and prescriptive analytics.
• Lead and oversee a team of cross functional analysts, providing support to various business verticals.
• Manage advanced analytics initiatives from start to finish, encompassing problem definition, data analysis, model development, testing, implementation, and ongoing oversight.
• Work with cross-functional teams to identify business needs and convert them into analytical projects and solutions.
• Establish consistent methodologies for analytics processes, tools, and frameworks to guarantee the scalability, performance, and quality of data products.
• Train and mentor team members, while fostering an environment of continuous learning and innovation.
• Manage stakeholder relationships to prioritize analytics workstreams aligned with strategic business objectives.
• Integrate advanced analytics processes with the group data platform and BI systems.
• Ensure adherence to analytics governance standards, data privacy, and compliance policies in all delivered solutions.
• Provide input and strategic direction on adopting emerging technologies in the advanced analytics space.
• Drive cultural change toward analytics adoption and data-informed decision-making across the group.
• Own key data products to ensure that they are catalogued and maintained according to standards.

Skills we need:

• Introduce new standards and best practices for analytics and insights across the group.
• Support analysts in their professional development and career path by building their career framework.
• Develop training and upskilling programs to improve general data literacy across the group.
• Create new data product certification standards and drive the adoption.
• Demonstrates knowledge of key business functions and the technologies supporting their analytics and decision making.
• Leads discussions with senior leaders across the business to encourage and enable analytical insights.
• Sets expectations for and reviews management and key stakeholder reports and dashboards.
• This role entails securing substantial business ownership and commitment partnering with data teams guided by Data Mesh principals.
• Holds self and team members accountable for achievements, publicly recognizing successes.

Experience and Qualifications:

• Preferably a Bachelor’s Degree or advanced Diploma in Data Science, Applied Mathematics, Computer Science, Statistics, or a related field.
• Advanced degrees (Master’s/Ph.D.) are highly advantageous.
• Demonstrable expertise in statistical analysis, predictive modeling, and machine learning techniques.
• Extensive experience working with SQL and programming languages such as Python or R
• Skilled with data tools and integration frameworks, especially in cloud-based environments.
• Strong knowledge of advanced analytics platforms and frameworks.
• A strong grasp of the entire analytics pipeline, from preparing data to deploying data products into production.

Additional Preferred Experience:

• Experience in the retail or e-commerce industry.
• Familiarity with Agile development methodologies.
• Knowledge of data governance frameworks and best practices.