Data Associate - UI
Summary
The Data Associate will build and maintain client-facing interfaces for a political fundraising firm, utilizing skills in Python, Flask, and front-end web technologies. They will also collaborate with the data team to document processes and resolve UI-related issues.
Data Associate - UI
Location: Remote
Salary: $80,000/year (Full-Time)
About Ripple Effect Strategies
Ripple Effect Strategies is a Democratic fundraising firm dedicated to crafting compelling, results-driven messaging that helps our clients raise the money they need to achieve their goals.
We are seeking a skilled Data Associate to join our team. If you have a passion for helping Democrats win, experience in data or computer science, and thrive in a fast-paced, high-pressure environment, we’d love to hear from you.
Responsibilities
Experience with any of the following:
Location: Remote
Salary: $80,000/year (Full-Time)
About Ripple Effect Strategies
Ripple Effect Strategies is a Democratic fundraising firm dedicated to crafting compelling, results-driven messaging that helps our clients raise the money they need to achieve their goals.
We are seeking a skilled Data Associate to join our team. If you have a passion for helping Democrats win, experience in data or computer science, and thrive in a fast-paced, high-pressure environment, we’d love to hear from you.
Responsibilities
- Creating a client-facing interface to communicate project status updates seamlessly
- Maintaining client interface systems
- Auditing and resolving UI-related issues
- Communicating updates to internal data projects during company-wide meetings
- Working with the data team to develop SOPs and other documentation
- Other responsibilities as assigned
- A four year degree in computer science, data science, statistics or a comparable field
- Experience with Javascript, CSS/HTML, Python, and Flask
- Experience with front-end web development and web design
Experience with any of the following:
- Democratic or left-leaning political campaigns/organizations
- Data platforms such as Google BigQuery
- Programming languages such as C++
- Startup environments