data analyst

summary

• specialism
  manufacturing
• reference number
  JPC - 70046

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 ...

• 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

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 ...

• 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