1. Product Discovery & Requirements 

• Translate complex business needs into analytical and functional designs, ensuring scalability, clarity, and long-term maintainability. 
• Contribute to the refinement of global, reusable use cases aligned with the broader D&A roadmap. 
• Collaborate with Product Leads and Business Analysts to shape well-structured epics and features, proactively identifying risks, dependencies, and analytical implications. 
• Assess feasibility, data readiness, and technical impact, and advise the squad on the best approach to maximise value and delivery efficiency. Commented [DA1]: does this role has any role in support and maintaining global use cases? 
• Bring senior level problem structuring skills, enabling the squad to navigate ambiguity and transform it into actionable work items. 
• Contribute to the evaluation and strategic shaping of ideas through the Idea Portal and SNOW processes, including advising on priority and business impact. 

 

2. Stakeholder Engagement 

• Communicate (complex) analytical concepts, modelling decisions, and data logic in a clear and compelling manner to business, technical, and operational audiences. 
• Partner with SMEs, Business Analysts, and brewery teams to challenge assumptions and ensure KPIs and dashboards reflect the true operational context. 
• Support and participate with the right level of seniority in alignment sessions to establish shared definitions, logic, and standards for metrics and visualisations. 
• Act as a senior voice for both the user and analytics, ensuring solutions meet realworld needs while maintaining technical integrity. 

 

3. Data & Analytics Enablement 

• Design and build highquality, scalable dashboards, semantic models, and analytical features using Power BI, Grafana, or related tools. 
• Create advanced DAX measures, optimised Power Query transformations, and reusable modelling components that set the standard for product excellence. 
• Help to drive global alignment of business logic, metric definitions, and analytical consistency across use cases and squads. 
• Diagnose and resolve complex modelling, data quality, or logic challenges, collaborating with Data Engineers and BI Developers where necessary. 
• Embed best practices in modelling, performance optimisation, usability, and storytelling to elevate analytical maturity across the organisation. 

 

4. Product Delivery & Value Realisation 

• Provide senior level guidance and clarification for analytical, modelling, and logic related questions throughout the sprint. 
• Taking a lead role in the development, testing, validation, and documentation of development of use case and features, ensuring they meet high standards of quality, accuracy, and user relevance. 
• Facilitate demos of (analytical) increments, articulating both logic and business impact, and lead iterative improvements based on feedback. 
• Monitor adoption, performance, and value realisation; proactively recommend improvements or new opportunities. 
• Support enhancement and demand processes by providing expert evaluation, prioritisation recommendations, and clarity on implications. 

 

5. Supporting Agile Ways of Working 

• Break down complex (analytical) requirements into clear, testable backlog items that meet the Definition of Ready. 
• Mentor team members on analytical best practices, modelling approaches, and structured problem solving. 
• Contribute actively to all Agile ceremonies and support the Product Lead in navigating analytical complexity. 
• Advocate for iterative, valuedriven delivery, promoting early validation, continuous learning, and sustainable ways of working. 
• Help refine team standards, practices, and delivery processes to elevate squad performance and product quality. 

 

6. Change & Adoption 

• Develop highquality documentation that clearly explains KPIs, logic, usability, and design rationale. 
• Support deployment activities, by providing documentation, etc. 
• Ensure analytical solutions are well understood, properly embedded, and consistently delivering the intended benefits across markets. 
• Act as a senior ambassador for analytics adoption, usability, and scalability across the Smart Brewery landscape.

Qualifications 

• Bachelor’s or Master’s degree in Business, Engineering, Computer Science, Data/Analytics, or related field. 
• Significant experience in Business Analysis, BI Development, or Data Engineering (with a strong interest in analyticscentric product delivery). 
• Demonstrated experience delivering complex BI/analytics solutions in Agile environments. 

 

Skills & Experience 

• Essential 

• • Advanced BI development expertise (Power BI, Grafana) including semantic modelling, DAX, Power Query, and complex dashboard design. 
  • Strong ability to translate business questions into analytical logic, modelling structures, and solution designs. 
  • Ability to interpret and work with data structures and pipeline outputs, without owning engineering responsibilities. 
  • Strong SQL skills, analytical validation skills, and experience resolving data quality issues. 
  • Proven experience designing intuitive, scalable analytical models and global dashboards. 
  • Excellent communication skills with the ability to influence and guide both business and technical stakeholders. 
  • Experience working in global, crossfunctional and multicultural product teams. 
  • Fluent in English (written & spoken). 
• Desirable 

• • Experience in manufacturing, FMCG, or industrial analytics (MES, SCADA, sensors). 
  • Conceptual understanding of Azure analytics tools (ADF, Synapse, Databricks, Azure SQL). 
  • Experience with KPI frameworks, operational monitoring, or continuous improvement methodologies. 
• Mindset & Behaviours 
• • Focus on value — ensuring analytical work measurably improves operational performance. 
  • Empower teams — elevating others through clarity, guidance, and collaborative problem solving. 
  • Start quick, learn fast — combining senior judgement with iterative experimentation. 
  • Continuously improve — raising the quality bar, challenging assumptions, and driving excellence. 

 

You thrive at the intersection of business insight, analytical design, and technical execution — shaping solutions that help brewery operations operate smarter, faster, and more insightdriven.