Data Analytics and Automation Specialist

Who We Are

Dyno Nobel is a global leader in commercial explosives, manufacturing and blasting technology, delivering innovative solutions to the mining, quarry, construction, and seismic industries. With a legacy of safety, performance, and technical excellence, Dyno Nobel is known for pushing the boundaries of what's possible in commercial explosives—helping customers optimize operations, improve productivity, and reduce environmental impact. Backed by a team of dedicated professionals and a commitment to continuous improvement, Dyno Nobel sets the standard for reliable and responsible blasting manufacturing and services worldwide.

What You’ll Do:

As a Data and Automation Specialist, you will be responsible for driving data-led insights that enhance financial decision-making, improve forecasting accuracy, and support business performance across all areas of the finance, commercial, supply chain & procurement functions. Other duties include:

• Ensures that teams and senior leadership have timely, reliable, and actionable data to support strategic, operational, and commercial outcomes
• Develop and maintain finance-related data models, ensuring accuracy, consistency, and integrity of reporting.
• Responsible for supporting and implementing  integrations of applications across the company for reporting to improve company decision making and determining future needs
• Assist with development of governance standards for financial and operational data to support compliance and audit readiness.
• Design and deliver dashboards, visualizations, and performance metrics to provide transparency over key business drivers
• Partner with Commercial and Operations teams to provide analytical support
• Support advanced analytics to improve forecasting, scenario modelling, and strategic planning.
• Lead automation and process improvement initiatives through well governed project management processes, stakeholder engagement, and cross-functional project leadership. This includes collaboration with the HSEOE and local finance teams to automate capital spend tracking and forecasting
• Identify opportunities for process simplification, automation, and standardization across the finance function.
• Attend S4Hana data design workshops and provide input to establish strong foundation for future automated reporting
• Translate complex financial and operational data into clear, actionable insights for business leaders 
• Provide benchmarking, profitability, and value-driver analysis to support corporate strategy and long-term planning.
• Drive adoption of automated reporting through management of change processes, supporting team capability uplift, and relevant training to end-users.

What We’re Looking For:

• Degree in Data Science / IT / Finance or relevant years’ experience
• 3 years experience in data analytics, BI development, or financial analytics.
• Experience implementing data integrations and pulling data from several different application systems 
• Proficient in Power BI, and data visualization tools.
• Experience with ERP systems (preferably SAP).
• Stakeholder engagement and communication – ability to translate complex analytics into actionable business insights for non-technical audiences.
• Strong problem-solving skills with a focus on continuous improvement.
• Ability to think strategically  driving next steps and future data needs, along with working transactionally in the day to day data.

What We Offer:

• Paid vacation time 12 paid holidays PTO days
• Full health benefits including employer HSA contributions dental plan with an orthodontic option, wellness coaching available
• Matching 401K
• A generous tuition reimbursement program
• Generous paid parental leave
• Friendly and supportive coworkers 

Zero Harm for Everyone Everywhere

Value People – Respect, Recognize & Reward

Think Customer. Everyone. Every day

Treat the Business as our Own

Care for the Community & our Environment

Challenge & Improve the Status Quo

Deliver on our Promises

Dyno Nobel is an equal employment opportunity employer and will give all qualified applicants consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national or ethnic origin, age, disability status, protected veteran status, genetic information or any other characteristic protected by law.