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 business
Proactively identify opportunities to reduce manual processes improve efficiency- and enhance scalability through automation and AI-driven solutions
Design build and implement solutions using tools such as Power Automate Power Apps and AI Builder ensuring they are robust scalable- and aligned with business needs
Apply prompt engineering techniques and leverage generative AI tools (eg Copilot) to enhance reporting analysis- and day-to-day workflows
Continuously assess emerging AI and automation tools translating new capabilities into practical- high-value applications for the business
Take 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 business
Analyse complex data sets to uncover trends risks and opportunities across revenue performance channel mix- and customer behaviour
Translate analytical outputs into clear- commercially relevant insights and recommendations that support decision-making at all levels
Support forecasting scenario modelling- and performance tracking to inform strategic and tactical planning
Continuously 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 initiatives
Partner closely with stakeholders across Sales- Marketing and International teams to embed data-driven thinking into day-to-day decision-making
Engage with stakeholders to understand business challenges shape problem statements- and translate requirements into scalable analytical and automation solutions
Support the adoption of new tools processes and ways of working through clear communication training- and ongoing support
Influence 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 effectiveness
Maintain a strong awareness of industry trends and advancements in analytics automation and AI- bringing forward new ideas and opportunities for the business
Contribute to the broader automation and AI roadmap- ensuring local initiatives are aligned with global strategy while addressing market-specific needs
Act as a key connector between local teams and international BI/Analytics functions supporting knowledge sharing consistency- and scalability of solutions
- Foster 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 discipline
- 5+ years’ 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 visualisations using tools such as Power BI
Hands-on experience with Power Platform technologies- particularly Power Automate and Power Apps
Practical exposure to AI tools (eg 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 (eg 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
CORE CAPABILITIES
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 including revenue growth cost efficiencies- and productivity gains
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
