Job
Description
Join an industry leader and make a positive change in the sustainable use of the world’s natural resources. Together, we will transform the business and drive the industry toward a greener future.
At Metso, you will be supported by our inclusive culture and a network of colleagues from around the world. With us, you will embark on a personal growth journey and are encouraged to realize your potential. This is your invitation to rise above the possible.
Introduction
We are seeking a Digital Systems Analyst to join our CNS Global Quality Development team. You will be responsible to support and lead initiatives related to continuous improvement of quality process data, reporting mechanisms, and associated systems, fostering a data-driven culture across the business area. This includes taking important role on development and implementation of innovative Quality Systems and digital tools (Quality 4.0 initiatives).
You will be part of the digital transformation within the quality function by leveraging advanced data analytics, AI/ML technologies, and system integration to optimize processes, ensure compliance, and elevate overall quality performance.
In this position, you will report to Head of Quality Data Management & Systems.
This position is mainly located in Alwar / Vadodara and it involves up to 30% of international travels.
Team you belong to
You will be part of CNS Quality Development team which, in addition of Quality functions, plays a critical role in shaping and executing our global quality data strategy
We work closely with IT, CNS Business Lines, Supply Chain, and other cross-functional teams to ensure system integration and alignment of quality data initiatives
What you'll do
Lead and support the development, implementation, and optimization of data-driven solutions for quality & Supply chain systems, leveraging advanced analytics, automation, and digital technologies across Supply chain of Consumable Operation at Metso.
Design and maintain scalable dashboards and reporting tools using Power BI, enabling real-time visibility and actionable insights from process and product quality data.
Drive and develop digital solutions using Power Platform tools such as Power Apps, Power Pages, Power Automate etc.
Configure, validate, and deploy enhancements to the SAP Quality Module, ensuring seamless integration with enterprise systems and alignment with business requirements (S/4HANA preferred).
Execute Proof of Concept (PoC) initiatives for automation and analytics use cases, applying data science methodologies and tools such as Python or RStudio to model, process, and visualize complex datasets.
Drive the adoption of AI/ML, IoT and Cloud computing platforms (AWS, Azure or GCP) to modernize quality systems and enable predictive quality capabilities.
Apply Generative AI (GenAI) tools and frameworks (e.g., OpenAI, Hugging Face, LangChain, LLM APIs) to develop intelligent assistants, automate documentation, and enhance decision-making in quality processes.
Identify and implement RPA solutions using platforms like Automation Anywhere, or Power Automate Desktop, to streamline repetitive tasks and improve operational efficiency.
Manage digital transformation projects using Jira, supporting agile execution through backlog management, sprint planning, and cross-functional collaboration.
Collaborate with stakeholders to identify opportunities for continuous improvement in quality processes, systems, and reporting mechanisms.
Participate in Quality 4.0 initiatives, helping to identify and implement innovative technologies that enhance operational efficiency and regulatory compliance.
Support system integration efforts across global operations, ensuring interoperability between quality systems and enterprise platforms.
Contribute to the governance of quality data by supporting the definition and adherence to standards, processes, and procedures that ensure data integrity, consistency, and compliance.
Travel internationally up to 30% of working time to support global deployments, training, and stakeholder engagement.
Who you are
Technically proficient in Power BI and Microsoft Power Platform (Power Apps, Power Automate etc.), enabling low-code/no-code development and workflow automation.
Strong command of AI/ML, big data, and cloud computing platforms (AWS, Azure or GCP), with practical application in enhancing quality systems and predictive analytics.
Experience & Knowledge of Python, with working knowledge of key libraries such as Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn, Plotly etc. for data manipulation, statistical modeling, AI/ ML, automation and visualization; supporting advanced analytics and quality insights.
Deep understanding of SAP Quality Module including configuration, implementation, validation, and integration, with exposure to S/4HANA environments preferred.
Familiar with Java, Angular, and Node.js, with elementary knowhow of full-stack development concepts including frontend-backend integration, RESTful APIs, and basic UI/UX design principles.
Exposure to Generative AI (GenAI) tools and frameworks such as OpenAI, Hugging Face Transformers, LangChain, and LLM APIs, with basic understanding of prompt engineering, model integration, and use-case development.
Working knowledge of Robotic Process Automation (RPA) platforms such as Automation Anywhere, or Power Automate Desktop, with the ability to identify automation opportunities and support bot development.
Experienced in Design Thinking, Value Stream Mapping, Wireframe Design, and Business Requirement Documentation, with a strong ability to translate business needs into structured digital solutions and process improvements.
Skilled in leading cross-functional workshops and stakeholder engagements to drive innovation, define user-centric requirements, and shape scalable digital quality systems.
Skilled in project management tools such as Jira, with the ability to manage agile execution, sprint planning, and backlog refinement for digital transformation initiatives.
Capable of executing Proof of Concept (PoC) initiatives for automation and AI/ ML use cases, demonstrating a proactive and solution-oriented mindset.
Knowledge in data governance and quality systems, with the ability to support compliance, data integrity, and continuous improvement across global operations will be an added advantage.
Holds a Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, Information Systems, Business Administration, or a related technical/scientific field.
Willing and able to travel internationally up to 30% of working time to support global deployments, training, and collaboration efforts.
What's in it for you
It would be a good opportunity for an individual to use his/her knowledge and skills to relate to floor activities and work on developing himself/herself and the processes.
Also, we provide a learning environment to support professional growth for an individual.
Wellbeing and safety - benefit from occupational healthcare, generous benefits plan, healthy living rewards, mental well-being services, on-site gym, meal benefits, car/bicycle benefits, and engagement surveys.
Annual bonus - global incentive programs tied to business and performance targets.
Hybrid working possibilities - while we are big advocates of meeting and collaborating in person, we believe in fostering a flexible work environment.
Extensive learning opportunities - ongoing growth dialogues, internal mobility, mentoring programs, education assistance, ambitious projects, and global opportunities.
Worldwide support - leverage our network of peers across the world, offering valuable assistance. We get things done together, through open and honest communication.
A thriving culture – we are committed to developing an inclusive culture that enables everyone to do their best and reach their full potential. A culture that is courageous, compelling, and caring, and unites our people to build a sustainable future together.
Get in touch
Timeline: Applications are accepted till 31 Oct 25.
How to join - Working at Metso - About Metso - Diversity and Inclusion - Meet our people
Metso is an equal opportunity employer committed to fostering an inclusive and diverse workforce culture. All qualified applicants will receive consideration for employment without regard to race, religion, color, nationality, gender, gender identity, sexual orientation, age, status as a protected veteran or status as a qualified individual with a disability.
Metso is a frontrunner in sustainable technologies, end-to-end solutions and services for the aggregates, minerals processing and metals refining industries globally. We improve our customers' energy and water efficiency, increase their productivity, and reduce environmental risks with our product and process expertise. We are the partner for positive change.
Headquartered in Espoo, Finland, Metso employs over 17,000 people in close to 50 countries and sales for 2023 were about EUR 5.4 billion. The company is listed on the Nasdaq Helsinki. metso.com, x.com/metsoofficial
