.The Analytics Lead is a high-impact role that is central to the company's mission of developing a world-class data analytics function. We are looking for a high-performing individual contributor who can help lead the team. This position demands a proactive, curious, technically skilled individual who can manage dynamic and rapidly evolving requirements and deliver measurable results. This role is a go-to resource for delivering consultancy-level analysis, reporting and insights in support of critical company initiatives involving stakeholders up to the senior executive level. The Analytics Lead is not only a data expert, but a strategic partner who anticipates challenges, provides actionable recommendations, and helps drive the evolution of our analytics capabilities. This individual will work closely with the Head of Data Operations & Analytics to ensure the analytics team is equipped to tackle the most complex problems and deliver business outcomes.The Analytics Lead is a critical role, requiring a unique blend of technical expertise, strategic aptitude, and leadership skills. This role is ideal for a proactive, solution-oriented individual who is passionate about elevating the company's data analytics function to new heights and driving significant business impact through data.Responsibilities:Advanced, proactive, consultancy-level analytics:Complex problem solving: tackle the team's most challenging analytical problems, designing and delivering innovative solutions that improve business outcomes and optimize performance.Data-driven decision making: deliver high-quality analysis and reporting that provides actionable insights at every level of the organization, from operational teams to senior executives.Stakeholder engagement: serve as a trusted advisor to stakeholders, translating complex data into clear, concise insights and driving consensus around data-driven strategies.Strategic leadership:Consultancy-level insights: act as a key advisor within the organization, providing high-level analytical insights and data-driven recommendations that drive strategic decisions across the company.Technical innovation: lead the development and implementation of advanced analytics capabilities, including data modeling, machine learning, and visualization techniques, ensuring these tools deliver business value.Capability development: collaborate with the Head of Data Operations & Analytics to refine and enhance the team's methodologies, processes, and performance metrics, driving continuous improvement in analytics practices.Technical and operational excellence:Collaboration with engineering: work closely with engineering teams to ensure seamless integration of analytics into operational workflows, enhancing data accessibility and usability across the organization.Process optimization: lead efforts to streamline and optimize analytical processes, leveraging cutting-edge tools and methodologies to maximize efficiency and impact