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Aarti Industries logo

Digital Officer

4 - 8 years

0 Lacs

Vadodara

Posted:1 week ago| Platform: GlassDoor logo

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Skills Required

reporting manufacturing iot analytics management support budgeting analysis ml ai drive planning research agility design automation instrumentation mechatronics certifications certification training data plc sensors communication aws azure statistics python spark hadoop sql learning agile deployment

Work Mode

On-site

Job Type

Part Time

Job Description

Structure
Digital_Analytics Team 1
Job posted on
Jul 04, 2025
Employee Type
Full Time
Experience range (Years)
0 - 0

Job Description

Job title
Digital officer (Analytics)
Span
Central

Function & Role
Digital Group
Location
Vadodara

Designation
Asst. Manager / Dy. Manager
Reporting to (role)
Digital Manager (Analytics)

Purpose Statement

Identifying opportunities to co-create business value by leveraging Smart Manufacturing (Industry 4.0, IoT, Manufacturing Analytics) emerging digital technologies in line with Aarti Management Systems & Digital Transformation journey and further implementing and supporting the same to create the desired business impact.

Key Role & Responsibilities

This role, part of the Digital group, will be responsible for managing, execution and supporting multiple digital projects & initiatives to digitally transform the organization.
  • Will work closely with his Manager for driving the Digital & Analytics (Smart Manufacturing) roadmap.

  • Provide program management support for the Digital group in terms of project updates, budgeting, benefit realization and alignment to strategy.

  • Identification, ideation, conceptualization, analysis and execution of Digital opportunities across the value chain including smart manufacturing (Industry 4.0, IoT) & Advance Analytics (ML/AI), digital workplace & customer experience across all pillars and verticals.

  • Working closely with SMEs (management, plant staff, support functions etc.) to evangelize and elaborate digital transformation use cases and drive cultural change.

  • Work closely with vendors/strategic business partners for planning, executing & supporting Digital projects.

  • Actively research new trends and emerging technologies to see how they can bring business value.

  • Bring newer ways of working, agility and innovation in solutioning.

    • Internal & External Relationship

    Function / Agency
    Purpose of Interaction
    Frequency

    All Functions
    To design and implement Smart Manufacturing (Industry 4.0) Digital applications around analytics and automation so as create business value for the organization.
    Daily

    Vendors
    To collaborate with implementation and support vendors who are involved in implementation of the digital applications
    Daily

    Job specification

    Experience
    4-8 Years

    Qualification
    BE or masters in Instrumentation / Chemical / Process / Mechatronics / Computer Science / Operation

    Certifications/Trainings
    Certification or Training in IoT applications, Data Analytics, Cloud basics, statistical Analytics, any visualisation platform

    Competencies
    Behavioural
  • Good team player, eager to collaborate and contribute to achieve common goals.

  • Desire to learn and explore new concepts and features in systems, processes, and data analytics.

  • Demonstrated ability to build lasting relationships with all internal stakeholders

    • Functional
    - At least 3 years of industrial exposure in Smart Manufacturing (Industry 4.0) - i.e. IoT, data analytics, Cloud, MES, preferably in Manufacturing.
  • Experience of driving Analytics journey in manufacturing industry would be an advantage

  • Good Understanding & experience of Operation Technologies (OT systems) i.e. DCS, PLC, Sensors, various communication protocols, and IT-OT integration.

  • Hands-on Experience with the implementation of Analytics platform on Cloud / Hybrid cloud platforms like AWS, Azure, GCP

  • Basic understanding of Statistics, Mathematical Modeling, Python, Spark & Hadoop ecosystem, SQL, Digital Twin, Machine Learning, Deep Learning, Optimisation coupled with strong business sense would be an advantage.

    • - Well versed with data handling techniques - Data cleansing and feature scaling.
  • Ability to transform proof of concept machine learning models into scalable production-ready solutions.

  • Work in an agile and iterative manner on solving problems. and quickly implement solutions.

  • Agility to learn and develop in-depth understanding of the business processes and linking the same for business insights through data analytics.

  • Basic knowledge of project planning, executing, controlling and closing.

  • Experience in managing big scale analytics deployment projects in a fast paced environment

  • Excellent written/oral communication skills, especially for explaining complex data analytics concepts to non-technical stakeholders.

  • Ability to assist in multiple projects simultaneously / multi-task

  • Detail-oriented, self-motivated and highly organized with good problem-solving skills

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