AI & Digital Data Analyst

At Novonesis, we believe the best business decisions are driven by meaningful insights. As digital channels, commercial platforms, and AI capabilities continue to evolve, understanding customer behaviour and measuring business impact has never been more important. You will join the Commercial Platforms Team, part of Global Strategy & Commercial Development and a key enabler of Novonesis’ commercial excellence. We own, develop, and support the digital platforms, products, and capabilities that enable our global Commercial organization and help deliver seamless customer experiences across digital and commercial touchpoints. Our portfolio spans Salesforce, customer-facing solutions such as web and eCommerce, commercial analytics and dashboards, and AI. Working closely with Business Areas and IT, we translate commercial needs into scalable digital solutions that simplify how our commercial teams work, provide actionable insights, and create more connected customer experiences. As part of our AI and analytics journey, we are looking for an AI & Digital Data Analyst who can build robust measurement capabilities, transform data into actionable insights, and help establish the analytics foundation for our growing portfolio of digital and AI solutions. The Role & Your Impact As an AI & Digital Data Analyst, you will play a key role in enabling data-driven decision-making across our digital, commercial, and AI ecosystems. You will combine technical measurement implementation with advanced analytical thinking to understand customer behaviour, evaluate digital performance, and measure the adoption and value of AI solutions. Working closely with commercial teams, product owners, developers, marketers, data specialists, and technology partners, you will ensure reliable measurement, uncover actionable insights, and help drive continuous optimization across digital experiences. Key Responsibilities Digital Measurement & Data Implement and maintain digital measurement across websites and digital experiences using Google Analytics, Google Tag Manager, and related technologies. Design, test, and troubleshoot events, conversions, data layers, tags, pixels, and campaign tracking to ensure accurate and reliable data collection. Integrate digital behavioural data with commercial data sources, including Salesforce and other business platforms. Prepare, transform, and analyse data using Power BI, SQL, Power Query, KNIME, and similar technologies. Analytics, Dashboards & Insights Analyse digital journeys, campaign performance, customer behaviour, and conversion trends to identify improvement opportunities. Translate business objectives and KPIs into measurement frameworks, analytics models, dashboards, and reports. Investigate unexpected results and identify data-quality, tracking, or measurement issues. Deliver actionable recommendations that support commercial decision-making and customer experience improvements. AI & Digital Adoption Analytics Develop practical measurement approaches for AI and digital tools such as Microsoft Copilot, Salesforce Agentforce, Jasper AI, and internal GenAI solutions. Analyse adoption, engagement, repeat usage, and user behaviour across digital and AI platforms. Build and maintain dashboards that track AI adoption and business impact over time. Translate findings into recommendations that improve usage, engagement, productivity, and commercial value. Establish approaches to measure both adoption and effectiveness, including user outcomes and business impact where appropriate. Future Analytics Capabilities Explore emerging analytics technologies, methodologies, and measurement approaches. Prepare and structure data to support AI-powered analytics and natural-language querying capabilities. Contribute to innovative approaches that make performance insights more accessible and actionable for business users. This is a hands-on specialist role that combines technical implementation, data analysis, and business insight generation. Success requires the ability to move seamlessly between troubleshooting digital measurement frameworks and explaining how customer behaviour and platform usage influence commercial outcomes. What You'll Need to Be Successful Required Qualifications Bachelor’s or Master’s degree in Data Science, Computer Science, Business Analytics, Statistics, or a related field, or equivalent practical experience. 3-5 years of relevant professional experience in digital analytics, web analytics, digital measurement, business intelligence, or a similar analytics role. Strong hands-on experience with Google Analytics and Google Tag Manager, including events, conversions, tagging strategies, data layers, and measurement implementation. Practical experience implementing and troubleshooting digital measurement solutions with working knowledge of JavaScript, pixels, conversion tracking, and campaign measurement. Strong analytical skills with experience analysing customer journeys, website performance, digital campaigns, and conversion behaviour. Experience building dashboards, reports, data models, and measures in Power BI. Working knowledge of SQL and data transformation tools such as Power Query, KNIME, or similar platforms. Ability to translate business questions into meaningful measurement frameworks, analyses, and actionable recommendations. Additional Skills & Interests We Value Experience in the following areas will be considered an advantage: Salesforce and commercial/customer data analytics. Analytics related to AI platforms, digital products, or internal technology adoption. Microsoft Copilot, Salesforce Agentforce, Jasper AI, or other Generative AI technologies. Data preparation and modelling for AI-supported analytics and natural-language querying. Experience working within global enterprise environments and cross-functional teams. Who You Are You are: Hands-on and analytical – You enjoy working directly with data, measurement technologies, and uncovering the story behind the numbers. Problem-solving – You identify root causes and develop practical solutions to measurement, tracking, and analytics challenges. Business-oriented – You connect data and insights to customer experience, commercial performance, and business outcomes. Collaborative – You build strong partnerships across commercial, marketing, product, data, and technology teams. Curious and innovative – You continuously explore emerging digital and AI technologies and convert ideas into practical improvements.   Application Deadline: November 23rd  2026

Our purpose guides the way In Novonesis, we know that solutions rooted in biology can help solve humanity’s biggest challenges. Since we began more than a century ago, this has been our guide. It’s how we've gotten so far. And it’s how we'll impact the future. Now, more than ever, the world needs change. And with biosolutions, the possibilities for transformation are endless. If our purpose resonates with you, we encourage you to apply.

Opportunities for everyone We are committed to an inclusive recruitment process and equal opportunity for all applicants. Therefore we ask you to apply without a cover letter or photo and instead include a few sentences in your CV explaining your motivation for applying.

We make all employment decisions based on business needs and welcome candidates with a wide range of backgrounds, including ethnicity, religion, gender, sexual orientation, age, disability, or veteran status.

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