Digital Systems Analyst, Quality, Consumable

4 - 8 years

25 - 30 Lacs

Posted:-1 days ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

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.

What youll 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.

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