Scope3 is hiring a
Analytics Engineering Lead

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Scope3

πŸ’΅ ~$180k-$220k
πŸ“Remote - United States

Summary

Join Scope3, the industry's leading collaborative sustainability platform, as Analytics Engineering Lead and drive data-driven decision-making across the organization.

Requirements

  • 8+ years of experience working independently at a senior and/or leadership level
  • A Bachelor's or advanced degree in fields such as mathematics, engineering, or economics
  • Expertise in SQL and proficiency with a data engineering language, such as Python or Scala
  • Experience with data transformation tools like dbt
  • Knowledge of data visualization and BI tools such as Tableau, Looker, or Metabase
  • Experience with ETL frameworks like Airflow
  • Strong and clear communication skills: the ability to distill complex concepts into digestible insights for both technical and non-technical audiences
  • A proven track record of building trusted cross-functional partnerships

Responsibilities

  • Design and implement data models that facilitate analysis and model building
  • Develop frameworks and tools to scale and automate insight generation in order to address critical business and product needs
  • Build and nurture strong partnerships with Product, Engineering, and Data Science teams
  • Foster a culture of data-driven decision-making throughout the organization
  • Implement testing frameworks and validation checks across the data stack to identify and resolve quality issues, thereby enhancing trust in our data
  • Collaborate closely with the Data Engineering team and participate in architectural design discussions
  • Produce comprehensive documentation for data models, workflows, and processes
  • Develop and maintain tools and dashboards that enable users to interact with data effectively

Preferred Qualifications

  • Experience in designing high-quality visualizations and dashboards
  • Skills in automating data tasks for scalability
  • Expertise in large-scale distributed data processing frameworks such as Spark

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