Senior Data Analyst

Role Purpose As a (Senior) Data Analyst you are responsible for transforming data into high-quality insights, models, and dashboards that power the Smart Brewery vision. You work as an integral part of a crossfunctional squad, collaborating with Product Leads, Business Analysts, Data Engineers, Developers, and brewery experts to deliver global, scalable analytical products. Your role focuses on designing robust data models, building intuitive dashboards, defining KPIs, and ensuring consistent, reliable analytical foundations across the Smart Brewery ecosystem. Through strong analytical and technical skills, you turn complex datasets into actionable insights that support diagnostics, monitoring, optimisation, and continuous improvement. You also contribute to Agile delivery by supporting sprint activities, continuously improving BI assets, and ensuring that analytical products deliver measurable business value at global scale. Key Responsibilities 1. Product Discovery & Requirements • Translate business and analytical needs into data models, semantic layers, KPIs, DAX logic, and dashboard requirements. • Support the design and maintenance of global, scalable analytical assets aligned with the D&A roadmap. • Assess feasibility of new use cases by validating data availability, modelling requirements, and technical constraints. • Collaborate with Product Leads and Business Analysts to shape a clear, prioritised backlog. • Bring structure to analytical challenges, understanding the “why” behind each requirement. • Participate in technical assessment of new ideas and enhancements (Idea Portal, SNOW). • Provide firstline support (L1) for analyticsrelated queries and issues via our SNOW processes. 2. Stakeholder Engagement • Communicate analytical concepts and data modelling decisions clearly and simply. • Work closely with Business Analysts, SMEs and development team members to validate KPIs, logic, and visualisation needs. • Contribute to alignment sessions for metrics, data structures, and governance. • Act as the voice of analytics, ensuring products meet user expectations and deliver real value. 3. Data & Analytics Enablement • Design and build high-quality dashboards, models, semantic layers, and analytical products using Power BI and/or Grafana. • Create performant DAX measures, Power Query transformations, and reusable data models. • Support global KPI standardisation and modelling logic across use cases. • Identify and resolve data quality issues; work closely with data engineers to address structural gaps. • Ensure alignment of metrics and logic across squads, breweries, and regions for global consistency. 4. Product Delivery & Value Realisation • Provide continuous technical and analytical clarification to the development team. • Develop, test, validate, and document BI assets to meet acceptance criteria. • Demo analytical increments, collect structured feedback, and iterate. • Monitor dataset refresh performance, data availability, and usage patterns. 5. Supporting Agile Ways of Working • Break down analytical requirements into clear, testable backlog items. • Ensure BI tasks meet the Definition of Ready before sprint commitment. • Actively contribute to Agile ceremonies: o Planning: clarify analytical implications o Refinement: structure modelling and dashboard logic o Daily collaboration: provide realtime support o Reviews: validate outputs and showcase increments o Retrospectives: drive delivery improvements • Promote iterative delivery and datadriven decision making. 6. Change & Adoption • Provide documentation, training support, and deployment guidance for dashboards and data products. • Ensure new KPIs, dashboards, and models are understood, adopted, and creating intended value. Skills & Experience Essential • Strong BI development skills (Power BI, Grafana), including semantic modelling and DAX. • Strong SQL skills and experience with structured data environments. • Solid understanding of analytics principles (KPIs, dimensional modelling, data flows). • Ability to validate data quality and solve analytical challenges. • Proven experience designing intuitive, scalable dashboards. • Experience working in global, multicultural environments. • Fluent English (written & spoken). Desirable • Experience in manufacturing, FMCG, or industrial analytics. • Exposure to OT/IT data (MES, SCADA, sensors). • Familiarity with Azure analytics tools (ADF, Synapse, Databricks, Azure SQL). Mindset & Behaviours Aligned to HEINEKEN Behaviours: • Focus on value — ensuring analytics solve real operational problems. • Empower teams — collaborating openly with partners and stakeholders. • Start quick, learn fast — iterating, validating, and improving continuously. • Continuously improve — striving for technical and analytical excellence. You thrive in translating data into meaningful insights, helping breweries operate smarter and more efficiently Show more Show less