BI Developer

H&V is a global leader in filtration and energy storage solutions. Our advanced materials are used in nearly every industry and touch every aspect of modern life. Wherever you work, live or travel, chances are an H&V solution is close by, contributing to a cleaner, healthier, more sustainable world. H&V serves the world from 13 strategically located facilities. Our footprint in the Americas, Europe and Asia lets us meet the unique requirements of global and regional customers efficiently, accurately and cost effectively, while capturing supply chain efficiencies. These advantages help make H&V a valuable partner and a true worldwide leader. Our success comes from our ability to adapt, our values and the people of H&V. We act with integrity, and we treat customers, partners and each other with dignity and respect. We live these values every day and could not have prospered for more than 200 years without them. Role Purpose Your job is to turn data into decisions. Hollingsworth & Vose is a global specialty manufacturer with mill operations across the Americas, Europe, and Asia — and the people running those operations, from the mill floor to senior management, need numbers they can trust and analytics they can act on. You build those. A dashboard is not the outcome. The outcome is a plant manager who catches a margin problem a month earlier, or a finance team that stops arguing about whose number is right. We measure this role by results that matter to the business, not by reports shipped. Trust is the product — you treat it that way. This is also a role for someone who wants to build with AI, not just read about it. We are embedding AI into how IT delivers — natural-language access to data, automated insights, AI-assisted development — and this role sits at the center of that work. What You Own Analytics people rely on. Power BI dashboards and reports covering trend, variance, cost, and margin analysis — with drill-through, drill-down, parameters, and dynamic filtering that let people answer their own next question. Semantic models that hold up. Accurate models, measures, and KPIs. Multi-site, multi-currency, imperial/metric — handled correctly, to our site and item naming conventions, every time. If two reports disagree, that’s your problem to run down. The data behind the numbers. Strong SQL against Oracle EBS and our MES database to source, validate, and shape data. You verify before you publish — and when a number is wrong, “the source data was bad” is where your job starts, not where it ends. The sales cube. Develop against our central SSAS multidimensional cube (live connection / MDX) for cross-ERP, multi-currency sales and margin analysis. The existing SSRS estate. Maintain and rationalize current SSRS reports while the future state takes shape. AI in production. Build AI features into Power BI and our internal applications — natural-language Q&A, automated insights, anomaly detection, AI-assisted workflows — and use…