Absentee And Early Vote QA Specialist

For over 18 years, Catalist has been a leader in civic data and data science innovation. Our mission is to provide progressive organizations with the data, software, and services needed to better identify, understand, and communicate with the people they need to engage and mobilize. Our clients include the largest, most influential organizations in the U.S. active in civic engagement, advocacy, and political campaigns.

Catalist is home to a dedicated, creative team of technologists, data scientists, and campaign experts committed to using our talents and technology to nurture a vibrant and growing progressive community.

As an Absentee and Early Vote Specialist, you will have a leading role in providing data sets and solutions for use by a wide array of Catalist clients and partners, as well as assisting or leading efforts to manage cross-departmental projects. The position will be responsible for ensuring that various data types are processed and released in a timely and efficient manner.

The ideal candidate will be a highly motivated individual with excellent technical skills, a strong desire to learn new skills, and an interest in progressive politics. Catalist values creativity and problem-solving. Our work is on the cutting edge of data-driven politics, and your support will help Democratic candidates and progressive organizations conduct successful advocacy and electoral campaigns.

This position reports to the Director of Data Acquisition. The Absentee and Early Vote Specialist is a part of a growing Data team that supports all underlying work at Catalist.

Principle Duties & Responsibilities

• Create and execute data quality assurance tests on Absentee and Early vote (AVEV) data
• Present results, both orally and in writing, to technical and non-technical audiences
• Gain proficiency with proprietary Catalist tools through on-the-job training
• Document your work in a clear and thorough manner
• Perform data quality assurance tests on additional data sets in conjunction with the Data QA Team

Requirements

• Ability and willingness to learn new skills quickly
• Excellent project management skills, including ability to handle multiple projects at once
• Effective problem-solving and troubleshooting abilities in a fast-paced environment
• Able to focus on details and make productive suggestions on ways to improve processes
• Willingness to be creative and personable, work with teams internally, and articulate ideas clearly
• Interest, familiarity, or experience with SQL, Python or other relational database programming language
• Background check required