Where there’s a talent for turning data into value, there’s a way.What if your ability to connect business challenges, data and people could turn ideas into measurable value? As an Analytics Translator, you bring business and Data & Analytics together. You help identify where data, analytics and AI can make the greatest difference, turn opportunities into clear priorities and make sure promising ideas develop into solutions that deliver real impact!Your positionThe B2C Data & Analytics department develops data-driven solutions for our customers and customer processes. We do this through machine learning models, strategic analyses, reporting and self-service data solutions.We work across three business domain teams, where data experts and business experts collaborate closely to create valuable data solutions. These teams bring together Analytics Translators, Analytics Engineers and Data Scientists and work with Data & ML Engineers from IT.As an Analytics Translator, you focus on the question behind the data. You identify and shape opportunities where data, analytics, machine learning and Generative AI can contribute to B2C goals. Together with business stakeholders and Data & Analytics colleagues, you translate strategic priorities and decision needs into a value-driven portfolio and roadmap.You create focus by helping determine which initiatives should come first, based on their expected business value, strategic relevance, feasibility, dependencies and readiness. From the first opportunity through delivery and adoption, you keep sight of the outcome we want to achieve and the value we expect to create.Your strength lies in connecting business needs with the possibilities of Data & Analytics, asking the right questions, challenging priorities and bringing the right people together to turn opportunities into measurable results.As an Analytics Translator, you will:Identify and shape opportunities for analytics, machine learning, Generative AI and other AI-enabled solutions around business needs, user needs and decisions.Translate strategic priorities and business challenges into clearly defined initiatives and epics, working with Product Owners and delivery teams to turn them into executable work.Maintain and develop the Data & Analytics roadmap and support fact-based prioritisation based on expected business value, strategic fit, feasibility, dependencies, data and AI readiness, and available capacity.Develop business cases and solution proposals with clear value hypotheses and success measures, and follow initiatives through delivery, adoption and value measurement.Connect stakeholders across business domains and Data & Analytics, making dependencies around data availability, quality, governance, technology and shared capabilities visible.Recognise relevant privacy, security and responsible AI considerations early and involve the appropriate specialists so requirements and safeguards are reflected in initiative scope and delivery planning.
