Snr Analyst, Automation Analytics

About The Role

The Senior Analyst, Automation & Analytics plays a critical role in driving the development and embedding of analytics, automation, and AI-driven solutions within the local market. As the primary dedicated resource for automation and advanced analytics, this role operates with a high degree of independence and accountability, leading the identification, development, and execution of solutions that improve business performance and operational efficiency.

This position sits at the intersection of data, technology, and commercial decision-making. Working closely with sales, marketing and senior local and international stakeholders, the role is responsible for proactively identifying opportunities to streamline processes and enhance productivity through automation and AI.

A strong sense of ownership, intellectual curiosity, and a passion for exploring emerging technologies is essential. The role requires someone who is comfortable operating in an evolving environment, can self-direct priorities, and is motivated by delivering measurable business impact.

Duties & Responsibilities

Automation & AI Delivery

Support the end-to-end identification, prioritisation, development, and deployment of automation and AI use cases across the businessProactively identify opportunities to reduce manual processes, improve efficiency, and enhance scalability through automation and AI-driven solutionsDesign, build, and implement solutions using tools such as Power Automate, Power Apps, and AI Builder, ensuring they are robust, scalable, and aligned with business needsApply prompt engineering techniques and leverage generative AI tools (e.g. Copilot) to enhance reporting, analysis, and day-to-day workflowsContinuously assess emerging AI and automation tools, translating new capabilities into practical, high-value applications for the businessTake ownership of solution rollout, stakeholder adoption, and ongoing performance tracking to ensure tangible impact is delivered

Analytics & Business Insight

Develop and maintain high-quality reporting and dashboards that provide clear visibility of performance, key drivers, and commercial outcomes across the businessAnalyse complex data sets to uncover trends, risks, and opportunities across revenue performance, channel mix, and customer behaviourTranslate analytical outputs into clear, commercially relevant insights and recommendations that support decision-making at all levelsSupport forecasting, scenario modelling, and performance tracking to inform strategic and tactical planningContinuously improve data structures, reporting outputs, and analytical approaches to enhance the quality and usability of insights

Stakeholder Engagement & Influence

Act as the primary point of contact within the local market for analytics, automation, and AI-related initiativesPartner closely with stakeholders across Sales, Marketing and International teams to embed data-driven thinking into day-to-day decision-makingEngage with stakeholders to understand business challenges, shape problem statements, and translate requirements into scalable analytical and automation solutionsSupport the adoption of new tools, processes, and ways of working through clear communication, training, and ongoing supportInfluence stakeholders to embrace automation and AI-driven approaches, ensuring solutions are effectively embedded and utilized

Innovation & Continuous Improvement

Proactively identify opportunities to improve existing reporting, processes, and decision workflows, with a focus on efficiency and effectivenessMaintain a strong awareness of industry trends and advancements in analytics, automation, and AI, bringing forward new ideas and opportunities for the businessContribute to the broader automation and AI roadmap, ensuring local initiatives are aligned with global strategy while addressing market-specific needsAct as a key connector between local teams and international BI/Analytics functions, supporting knowledge sharing, consistency, and scalability of solutionsFoster a culture of continuous improvement by encouraging experimentation and learning within the analytics and automation space

General

Perform additional duties as required to support commercial planning.

Experience, Knowledge & Skills

Bachelor’s degree in Computer Science, Analytics, Mathematics, Statistics, or a related discipline5+ years’ experience using data and analytics to inform business decision-making in a commercial environmentStrong proficiency in SQL and experience working with complex, large-scale data setsExperience developing dashboards and visualisations using tools such as Power BIHands-on experience with Power Platform technologies, particularly Power Automate and Power AppsPractical exposure to AI tools (e.g. Copilot, AI Builder, or other generative AI platforms) and an understanding of how they can be applied in a business contextFamiliarity with cloud-based data platforms (e.g. Azure, AWS, Databricks) and/or programming languages such as Python is advantageousUnderstanding of how automation and AI can drive efficiency, scalability, and enhanced decision intelligence within a commercial business

Core Capabilities

Highly self-directed: Comfortable operating independently, setting priorities, and delivering outcomes with minimal supervisionCurious and forward-thinking: Demonstrates a genuine interest in emerging technologies, with a proactive approach to learning and applying new toolsStrong commercial acumen: Understands how analytics and automation can drive measurable business outcomes, including revenue growth, cost efficiencies, and productivity gainsEffective communicator: Able to translate complex technical concepts into clear, concise, and actionable insights for non-technical stakeholdersInfluence and collaboration: Builds strong cross-functional relationships and effectively drives adoption of new tools and processesStructured problem-solver: Approaches challenges logically and analytically, with a focus on continuous improvement and practical outcomes