Data Analyst

Weir•Fort Worth, TX

10d•Hybrid

About The Position

Weir is a global leader in mining technology, focused on helping customers extract resources more efficiently and sustainably. The company plays a key role in the transition to renewable energy by supporting the mining industry. This role involves applying skills to solve real-world challenges, delivering results through engineering, planning, or customer support, working with purpose, learning daily, and contributing to a more sustainable future.

Requirements

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.

Responsibilities

Engage closely with Supply Chain product domain teams to understand and analyze their data and analytics needs, current operations, and desired outcomes.
Translate business needs into clear business requirements and future state solutions.
Define and describe 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.
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.
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.
Utilize and support tools such as Power BI, Tableau, SAP (especially SAP HANA), and Microsoft technology stack.
Understand ERP data flows and source-to-target mapping to enable effective analytics solutions.
Demonstrate 100% commitment to our zero harm behaviors in support of our drive towards developing a world-class safety culture.