About Scope3 Scope3 is the industry's leading collaborative sustainability platform.
By modeling the complex digital advertising supply chain, we help brands measure and dramatically reduce digital waste to reduce carbon emissions from advertising and increase the efficacy of advertising investment.
This is an exceptional opportunity to build a company alongside great people and make a difference in one of the most important issues facing the planet: the climate crisis.
We're a reliably-funded company of 70 folks distributed across the globe.
We are fortunate to be led by an experienced leadership team, many of whom designed and engineered the digital advertising landscape as we know it today.
The company secured $20 M in Series B funding led by GV in Oct 2023 (additional investors include Venrock, Rucker Park, Room40 Ventures, and Craft Ventures).
Scope3 has significant market traction with more than 70+ customers and is experiencing accelerated growth.
Scope3 is a fully remote company and largely asynchronous to provide flexible working hours and to operate globally, with concentrations in New York and Europe.
At this time, we are hiring in Canada, Australia, UK, France, Germany, and the United States.
The Role As the Analytics Engineering Lead, you will be driven by a passion for transforming raw data into insightful and actionable outcomes.
You will take ownership of the function and work collaboratively with various stakeholders to enhance data utilization across the organization.
With your extensive experience in data modeling, transformation, and maintaining data quality, you will unlock the full potential of our data assets.
You have a strong interest in metric development and an appreciation for designing effective data-driven interfaces.
Your enthusiasm for data-driven decision-making, combined with a proactive approach, will enable you to thrive in an autonomous environment.
While strong analytical skills are essential for this role, you also recognize that simplicity can often yield the best results.
Key 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.
Your Expertise 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.
Nice To Have 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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