Job Description

Duties:

• Lead data visualization strategy for Policy, maintaining existing dashboards and developing new self-service resources. Optimize for bringing relevant data to the Policy team and bringing data created by the Policy team to cross-functional partners.
• Build and manage the primary Policy metrics and insights dataset and visualizations. Aggregate critical metrics across lobbying efforts, grassroots advocacy, partnerships, social and advertising campaigns, news articles, research and regulatory compliance efforts.
• Architect this data to be flexibly leveraged at many geographic levels, including government administrative boundaries, custom shapes, and business geographic definitions.
• Partner closely with the Economics and Research Data Science team to ensure the Policy team is consuming all available data and that it meets the highest quality standards. Elevate the legitimacy of Policy Comms data assets to pass our rigorous internal data certification process. 
• Leverage Minerva, our in house metrics management tool, to make our data accessible to other data practitioners.
• Develop experimentation and attribution framework for political advocacy and regulatory compliance marketing initiatives.
• Support ad hoc analytics needs to support Policy, including supply composition, economic impact, growth and regulatory compliance, etc.
• Build relationships with local and regional Policy Comms teams around the world to support their local data and analytics needs. Partner with the Comms Data Strategy Taskforce.

Skills:

• 7+ years experience in business intelligence, data analytics, or data science.
• Expert in SQL and Python languages.
• Expertise in building data visualization, preferably in Tableau.
• Experience working with complex geographic data. Experience with knowledge graphs is a plus.
• Talent for breaking down complex technical concepts into common language and acting as a bridge between technical and departmental stakeholders.
• Experience working with complex and big data systems across a multitude of relationships and metrics. Ability to apply a creative and nuanced perspective to look beyond common data indicators in order to meet business goals.
• Expertise designing and running marketing experiments.
• Ability to self-serve and take the initiative to find answers to technical questions.
• Experience building and implementing machine learning models is a plus.
• Experience in survey population sampling and survey response analysis is a plus.
• Expertise in R, Java, REACT is a plus.
  

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