Digital Solutions Analyst

Our solutions are a key part of most industries - electronics, medical research, renewable energy, food production, infrastructure and many more. Working with us means working with the latest technologies and groundbreaking, sustainable innovations.

Join us on our journey for a better tomorrow.

Drive business value by identifying, evaluating, and enabling digital solutions that improve operational efficiency, enhance decision‑making, and support scalable process improvements across the organization. Partner with business and functional teams to successfully implement new technologies, support data‑driven initiatives, and advance digitalization and AI capabilities while ensuring effective adoption and long‑term sustainability of solutions.

• Lead large‑scale process improvement initiatives or oversee the rollout of new software solutions, ensuring successful project execution and alignment with organizational goals.
• Support the evaluation, selection, and implementation of digital tools, software platforms, and emerging technologies to improve business processes and operational efficiency.
• Gather, document, and translate business requirements into functional specifications for new systems, enhancements, and digital initiatives.
• Coordinate and support software implementation activities, including testing (UAT), validation, issue tracking, and deployment readiness.
• Assist in identifying and evaluating AI, analytics, and automation use cases that improve productivity, decision‑making, and process performance.
• Conduct market research and benchmarking on tools, platforms, and digital solutions to support innovation initiatives.
• Collaborate with business stakeholders, IT teams, and vendors to ensure alignment of solutions with business needs and priorities.
• Support rollout activities for new systems, tools, and process changes, including communication, training materials, and user readiness.
• Facilitate user adoption by providing training, documentation, and ongoing support for new digital capabilities.
• Analyze existing business processes and workflows to identify inefficiencies and opportunities for improvement through digital solutions.
• Support development and enhancement of reporting, dashboards, and data insights to enable data‑driven decision‑making.
• Support and contribute to the configuration and development of digital solutions, including low‑code platforms, automation tools, and AI initiatives.
• Serve as a liaison between business functions and technical teams for digital and system‑related initiatives.
• Perform other duties as assigned.

• None

• BS in Engineering, Information Systems, Data Analytics or equivalent required. (Master’s degree is a plus)

• At least 2+ years of experience in a similar role.
• Achieving results in a fast‑paced, challenging manufacturing experience.
• Experience working in a LEAN manufacturing environment and with continuous improvement projects.
• Experience with production assembly processes, materials management and manufacturing systems.
• Proven experience leading large‑scale, cross‑departmental projects.
• Professional certificate in Data Analysis, Business Analysis, or Project Management preferred.
• Exposure to digital transformation initiatives, automation tools, or AI‑related projects is a plus.
• Exposure to ERP systems (e.g., BPCS, SAP, or similar) preferred.

• Demonstrated ability to manage large‑scale projects, including planning, executing, and overseeing cross‑functional teams to ensure timely and successful project delivery.
• Strong business analysis and requirements gathering skills, with the ability to translate business needs into clear functional requirements.
• Solid understanding of business processes and the ability to identify opportunities for digital improvement and efficiency gains.
• Experience supporting software implementations, including testing (UAT), validation, issue tracking, and deployment coordination.
• Ability to assess and recommend digital solutions, tools, and platforms based on business needs and value potential.
• Familiarity with database concepts and basic querying (e.g.,…