Randstad

data analyst

Job description

summary

  • randstad india
  • permanent
  • specialism
    manufacturing
  • reference number
    JPC - 70046
job details
Comapny: a Danish MNC into Industril ProcessingLocation: ChennaiExprience: 4-10 Years

Purpose and Target

  • Execute data analytics tasks related to Recovery and Power SMART solutions (RSP) in field of project delivery, product development, and life-cycle datalytics support.
  • Find and generate new ideas for SMART product development.

Organizational ...

Reporting

  • Report to Director, Digitalization, Recovery and Power SMART business.
  • This role requires also active cooperation and influencing in matrix throughout the delivery project organizations and Pulp & Paper digitalization team.

Authorization

  • Decision making on specified tasks on delivery and development projects as per process regulations

Responsibilities

  • Delivery and support of data analytics projects
  • data follow up with features and functions on SMART products
  • Develop new data-driven features and functions for SMART products
  • Collaborate with engineering and product development teams

Tasks

  • Identify valuable data sources and automate collection processes
  • Undertake preprocessing of structured and unstructured data
  • Analyze large amounts of information to discover trends and patterns
  • Build predictive models and machine-learning algorithms
  • Combine models and advanced process controls
  • Present information using data visualization techniques
  • Propose solutions and strategies to business challenges

Professional Experience / Education

  • Master’s degree in Data Science, Computer Science, Mathematics, or relevant field
  • Fluent written and spoken English skills

Competences

  • Proven experience as a Data Analyst or Data Scientist
  • Experience in data mining and machine-learning
  • Knowledge of Python (preferred) R, and SQL
  • Analytical mind and business acumen, problem-solving attitude
  • Excellent communication and presentation skills
  • Knowledge of pulp & paper industry is an advantage
show lessshow more
Comapny: a Danish MNC into Industril ProcessingLocation: ChennaiExprience: 4-10 Years

Purpose and Target

  • Execute data analytics tasks related to Recovery and Power SMART solutions (RSP) in field of project delivery, product development, and life-cycle datalytics support.
  • Find and generate new ideas for SMART product development.

Organizational ...

Reporting

  • Report to Director, Digitalization, Recovery and Power SMART business.
  • This role requires also active cooperation and influencing in matrix throughout the delivery project organizations and Pulp & Paper digitalization team.

Authorization

  • Decision making on specified tasks on delivery and development projects as per process regulations

Responsibilities

  • Delivery and support of data analytics projects
  • data follow up with features and functions on SMART products
  • Develop new data-driven features and functions for SMART products
  • Collaborate with engineering and product development teams

Tasks

  • Identify valuable data sources and automate collection processes
  • Undertake preprocessing of structured and unstructured data
  • Analyze large amounts of information to discover trends and patterns
  • Build predictive models and machine-learning algorithms
  • Combine models and advanced process controls
  • Present information using data visualization techniques
  • Propose solutions and strategies to business challenges

Professional Experience / Education

  • Master’s degree in Data Science, Computer Science, Mathematics, or relevant field
  • Fluent written and spoken English skills

Competences

  • Proven experience as a Data Analyst or Data Scientist
  • Experience in data mining and machine-learning
  • Knowledge of Python (preferred) R, and SQL
  • Analytical mind and business acumen, problem-solving attitude
  • Excellent communication and presentation skills
  • Knowledge of pulp & paper industry is an advantage
show lessshow more
  • experience

    • 10
  • skills

    • Python
    • R
    • Data Analyst
  • qualifications

    • B.E/B.Tech

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