About AMCS GroupAMCS is a global leader in sustainability-focused SaaS solutions, empowering resource-intensive industries to accelerate their journey toward a carbon-neutral future. Headquartered in Ireland, AMCS operates across 22 countries with a team of over 1,500 employees. Backed by EQT, the world's second-largest private equity firm, a valuation that places us among the top players in the sustainability tech space, reflecting our market leadership and rapid growth.Our Performance Sustainability platform is trusted by over 5,000 customers globallyto deliver measurable environmental and financial outcomes. AMCS is the market leader in operational ERP for sustainabilityWhy Join AMCS?At AMCS, we don't just offer jobs, we offer purpose-driven careers. You'll be part of a fast-growing, innovative company that's reshaping how industries manage resources, reduce waste, and optimize operations. Our culture is rooted in connection - connection to our mission, our customers, and each other. We foster a collaborative, entrepreneurial environment where your ideas and impact matter.The function of this role is to facilitate, enable, and leverage the use of data to identify and uncover operational inefficiencies and overall operational performance. The ideal candidate will have a strong background in Business Intelligence, Database Modelling, and analysis.Advanced proficiency in SQL and Python, with hands-on experience building data pipelines, performing marketing mix or attribution analyses, and applying statistical learning techniques (e.g., regression, causal impact, or predictive modelling)Proven skill in data storytelling and visualization, using tools like Tableau or Power BI to turn complex marketing performance data into clear, actionable narratives.Demonstrated ability to leverage AI tools and frameworks (such as Gemini, ChatGPT or predictive modelling libraries) to accelerate analysis, generate insights faster, and automate repetitive tasks.The ability to influence cross-functional teams partnering closely with marketing, finance, and product stakeholders to align insights with business goals.A masters degree in a quantitative or technical discipline (e.g., Statistics, Computer Science, Economics, Engineering) or equivalent hands-on experience in data science or analytics.