Lca Analyst

Logo of Pacifica Continental

Pacifica Continental

📍Remote - Worldwide

Job highlights

Summary

Join Pacifica Continental in finding a skilled Life Cycle Assessment (LCA) professional for a full-time, remote contract position with a global leader. This impactful role involves translating operational and supply chain data into detailed LCA models, supporting sustainability goals, and reducing environmental impacts. You will collaborate with cross-functional teams and ensure compliance with relevant LCA standards. The position offers flexibility and is ideal for mid-career professionals passionate about sustainability. The successful candidate will contribute to high-impact sustainability projects and work with one of the world’s most influential organizations. This remote role provides a dynamic and flexible work environment.

Requirements

  • Master’s or PhD in industrial ecology, environmental engineering, or a sustainability-related field. A Bachelor’s degree with 5+ years of experience will also be considered
  • Expertise in computational LCA, including co-product allocation, data normalization, and impact computations
  • Proven experience in life cycle inventory development and data collection methods
  • Familiarity with ISO 14040, 14044, and ILCD standards
  • Strong experience with LCA impact assessment methods, including spatially explicit models
  • Excellent problem-solving skills and an entrepreneurial mindset

Responsibilities

  • Conduct life cycle assessments (LCA) for sustainability projects across various industries
  • Analyze operational and supply chain data, transforming it into actionable LCA models
  • Work closely with diverse teams to drive and implement sustainability initiatives
  • Ensure compliance with relevant LCA standards and methodologies, delivering high-quality results

Preferred Qualifications

  • Project management experience or training
  • Experience with hybrid LCA models
  • Knowledge of life cycle inventory database development and maintenance
  • Familiarity with GIS and spatial analytics
  • Programming experience (R, Python, SQL)
  • Data visualization skills (e.g., PowerBI)

Benefits

  • Remote work
  • Flexible hours

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