Data Analyst

Overview What We Do At Weir: We are a global leader in mining technology for a sustainable future. We help our customers extract the resources the world needs more efficiently and more sustainably. Our planet’s future depends on the transition to renewable energy, and that transition can only happen with the metals and minerals our customers deliver. We work side by side with mines across the globe to move less rock, use less energy, use water wisely, and create less waste. Together, we drive the shift to smart, efficient, and more sustainable mining. Location - Ft Worth, TX Work Arrangement - Hybrid Make your impact You’ll play a key role in solving real-world challenges. You’ll apply your skills to deliver results that matter whether that’s through engineering, planning or customer support. You’ll work with purpose, learn every day and help shape a more sustainable future. What You’ll Do Business Engagement & Analysis: Engage closely with Supply Chain product domain teams to understand and analyze their data and analytics needs, current operations, and desired outcomes. Translate these into clear business requirements and future state solutions. Solution Definition & Delivery: Define and describe the “what, why, and how” of data and analytics capabilities, creating epics, user stories, and other assets for architects and engineers to implement. Ensure solutions meet business goals and deliver measurable value. Collaboration & Communication: Act as the key interface between business stakeholders (including director level and above) and technical teams, fostering strong relationships and clear communication. Champion data-driven decision-making and strategic thinking. Agile Execution & Product Support: Participate in the full product lifecycle from ideation through deployment using a scaled agile approach. Support Agile planning, product roadmap management, and risk assessment. Maintain the data platform catalog and contribute to continuous improvement. Technology & Tools: Utilize and support tools such as Power BI (deep expertise preferred), Tableau, SAP (especially SAP HANA), and Microsoft technology stack. Understand ERP data flows and source-to-target mapping to enable effective analytics solutions. Safety First: Demonstrate 100% commitment to our zero harm behaviors in support of our drive towards developing a world-class safety culture. What You’ll Bring Must-haves: Minimum 5 years of experience in business analysis, data analytics, or related disciplines, ideally with exposure to Supply Chain or Manufacturing environments. Strong business-facing skills with confidence to engage senior stakeholders and translate business needs into technical requirements. Proficiency with data visualization tools such as Power BI (deep knowledge preferred) and Tableau. Experience working with ERP systems, preferably SAP Nice-to-haves: Experience with data engineering concepts and tools, including data bricks and data fabric technologies. Familiarity with scaled agile frameworks and product lifecycle management. Background in consulting or roles requiring problem-solving using data to drive business outcomes. Experience working in international and multicultural teams. Why join Weir? We live our values: safety first, do the right thing, respect each other, aim high, and delight our customers. We encourage our people to lead by example and celebrate our successes. We’re passionate about delivering the natural resources essential to create a better future, combining deep customer insights, world-class engineering, materials science expertise, and intelligent automation to deliver innovative end-to-end solutions with our signature technologies. We believe your voice matters and your ideas make a difference. We’re building a diverse culture where our people belong and can do their best work, with inclusion networks and safety initiatives. Benefits Competitive pay Access to global inclusion networks Regional and team-specific benefits Sharebuilder scheme Wellness support for you and your family Collaboration with global teams #J-18808-Ljbffr