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About the Role

Drives the development and implementation of analytics, automation, and AI solutions to enhance business performance and operational efficiency. Operates with independence, leading the identification, development, and execution of impactful solutions. This role sits at the intersection of data, technology, and commercial decision-making, requiring a strong sense of ownership, intellectual curiosity, and a passion for emerging technologies.

Responsibilities

Support the end-to-end identification, prioritization, development, and deployment of automation and AI use cases.
Proactively identify opportunities to reduce manual processes, improve efficiency, and enhance scalability through automation and AI.
Design, build, and implement solutions using tools such as Power Automate, Power Apps, and AI Builder.
Apply prompt engineering techniques and leverage generative AI tools to enhance reporting, analysis, and workflows.
Continuously assess emerging AI and automation tools, translating new capabilities into practical applications.
Take ownership of solution rollout, stakeholder adoption, and ongoing performance tracking.
Develop and maintain high-quality reporting and dashboards for performance visibility.
Analyze complex data sets to uncover trends, risks, and opportunities.
Translate analytical outputs into clear, commercially relevant insights and recommendations.
Support forecasting, scenario modeling, and performance tracking.
Continuously improve data structures, reporting outputs, and analytical approaches.
Act as the primary point of contact for analytics, automation, and AI initiatives.
Partner closely with stakeholders across Sales, Marketing, and International teams.
Engage with stakeholders to understand business challenges and translate requirements into solutions.
Support the adoption of new tools, processes, and ways of working.
Influence stakeholders to embrace automation and AI-driven approaches.
Proactively identify opportunities to improve existing reporting, processes, and decision workflows.
Maintain awareness of industry trends in analytics, automation, and AI.
Contribute to the broader automation and AI roadmap.
Act as a key connector between local teams and international BI/Analytics functions.
Foster a culture of continuous improvement.
Perform additional duties as required to support commercial planning.

Requirements

5+ years of experience using data and analytics to inform business decision-making in a commercial environment.
Strong proficiency in SQL and experience working with complex, large-scale data sets.
Experience developing dashboards and visualizations using tools such as Power BI.
Hands-on experience with Power Platform technologies, particularly Power Automate and Power Apps.
Practical 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 context.
Familiarity with cloud-based data platforms (e.g. Azure, AWS, Databricks) and/or programming languages such as Python is advantageous.
Understanding of how automation and AI can drive efficiency, scalability, and enhanced decision intelligence within a commercial business.
Highly self-directed: Comfortable operating independently, setting priorities, and delivering outcomes with minimal supervision.
Curious and forward-thinking: Demonstrates a genuine interest in emerging technologies, with a proactive approach to learning and applying new tools.
Strong commercial acumen: Understands how analytics and automation can drive measurable business outcomes.
Effective communicator: Able to translate complex technical concepts into clear, concise, and actionable insights for non-technical stakeholders.
Influence and collaboration: Builds strong cross-functional relationships and effectively drives adoption of new tools and processes.
Structured problem-solver: Approaches challenges logically and analytically, with a focus on continuous improvement and practical outcomes.

Skills

Analytics
Automation
AI
Power Automate
Power Apps
AI Builder
Copilot
Generative AI
Prompt Engineering
SQL
Power BI
Cloud-based data platforms (Azure, AWS, Databricks)
Python

Experience Level

Senior

Education Level

Bachelor’s degree in Computer Science, Analytics, Mathematics, Statistics, or a related discipline