Sustainability Data & Analytics Assistant (Part-Time)

Scandinavian Tobacco Group Tobacco Service B.V.

København

On-site

DKK 193,000 - 248,000

Part time

26 hours ago
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Benefits offered by this job

Competitive hourly rate
Flexibility around exams

Job summary

Scandinavian Tobacco Group is seeking a Student Assistant to support our Sustainability Centre of Excellence in Copenhagen. The role focuses on data collection, analysis and reporting for ESG initiatives, including supplier data and CO2 footprint assessments.

Work is on-site with flexible hours around exams, ~20 hours per week, providing hands-on experience in sustainability analytics. You will engage with Excel, Power BI and evolving AI-enabled data tools to support Rolling Responsibly and

Qualifications

  • Currently enrolled in a Master’s program in a relevant field.
  • Strong analytical and data skills with Excel; Power BI is a plus.

Responsibilities

  • Collect, validate and analyse sustainability data from suppliers (Scope 3, packaging, due diligence).
  • Generate insights from supplier data and CO2 footprint analyses for packaging solutions.
  • Monitor data quality and follow up with suppliers and stakeholders.
  • Prepare presentations, reports and briefing materials for senior management.
  • Support sustainability reporting and regulatory initiatives (CSRD, PPWR).
  • Assist in development of AI-enabled data collection, reporting and analytics solutions.

Skills

Analytical skills
Excel
Power BI
Python
Stakeholder communication
English proficiency

Education

Master's degree in Sustainability / related field

Tools

Python

Job description

Scandinavian Tobacco Group is seeking a Student Assistant to support our Sustainability Centre of Excellence in Copenhagen. The role focuses on data collection, analysis and reporting for ESG initiatives, including supplier data and CO2 footprint assessments.

Work is on-site with flexible hours around exams, ~20 hours per week, providing hands-on experience in sustainability analytics. You will engage with Excel, Power BI and evolving AI-enabled data tools to support Rolling Responsibly and

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