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Form of workJob Description
Job Description:
- Develop ETL processes to move third-party data into Client's data warehouse, including housing and rental supply, census and demographics, legislation that may/does impact Client, and social listening.
- Implement a refresh cadence for each source based on value and how often its updated.
- Design, implement, and maintain data pipelines to connect Client internal and external data.
- This foundational data set drives Client models that predict where legislative challenges/opportunities are likely to arise and the Client users most likely to engage politically.
- Partner with E&I and DS to build data visualizations that enable service reporting on Client's legislative and regulatory landscape, incorporating available internal data and new external data sources as ETL processes are implemented.
- Support the launch and optimization of Iterable (Email marketing automation platform) that Public Policy is using to engage legislators, journalists, partners, and Hosts by moving audience data into Iterable for automated communications and extracting engagement events and marketing campaign metadata to support data visualization.
- Implement the integration of regulatory product and compliance data from Client's data warehouse -> the Policy Cloud (Salesforce CRM) where the Public Policy team manages legislative and regulatory efforts.
- Maintain and expand upon data pipelines that move structured internal Client's data into the Policy Cloud including host, listing, regulatory, compliance, and business value.
- Expertise in data and analytics engineering/data architecture.
- Expertise in Python and SQL. Expertise in R is a plus.
- Experience leveraging disparate data sets, in particular legislative/regulatory/economic/geospatial.
- Expertise in transforming data to be leveraged for self-service data visualization resources.
- Experience building and implementing Client models 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.
- Ability to self-serve and take the initiative to find answers to technical questions.
- Bachelor degree in Computer Science or Computer Engineering.
