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Summer 2024 Intern, Technology, Analytics Engineering

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ACLU Analytics partners with teams across the organization to enable the ACLU to make smart, evidence-based decisions and bring quantitative insights on our issues to the courtroom and the public. Our team's work ranges from social science research for litigation & advocacy, to analysis & reporting for fundraising and engagement, to building and maintaining our data infrastructure. We strive to ensure the ACLU leads by example in the ethical use of data and technology. This includes maintaining our privacy and security standards, pushing for transparent data practices from government and corporate actors, and helping to steward high standards for algorithmic fairness, accountability, and transparency.  

The ACLU Analytics team is composed of four pods – Analytics Engineering, Fundraising & Engagement, Legal & Quantitative Research, and Affiliates & Advocacy. The Analytics Engineering pod maintains a centralized Redshift data warehouse to enable supporter outreach and engagement. You will get the opportunity to work with our membership/donation data, polling/surveys, voter files, web, and other data. We also provide engineering infrastructure support for litigation and advocacy efforts at ACLU National and our 53 affiliates nationwide.  

What You'll Do:

Our interns will support the Analytics team’s data infrastructure. Potential projects include: building process improvements to data pipelines, automating manual data quality processes, exploring new tools to add to our analytics engineering stack, and automating web scraping for civil liberties cases.

Your Day to Day:

Interns will have the opportunity to gain valuable experience by working alongside the Analytics team on the following:

  • Helping to build analytical tools, such as automated data pipelines that feed dashboards for internal partners
  • Collecting, cleaning, and joining datasets from diverse sources, including data scraped from public websites
  • Presenting work internally and to stakeholders on other teams
  • Engage in special projects and other duties as assigned

What You'll Bring:

The internship is open to undergraduate and graduate students in a quantitative field (e.g., Statistics, Econometrics, Economics, Data Science, Mathematics, Computer Science) or with significant quantitative coursework with a programming component (e.g., Statistics, Epidemiology, Computer Programming). Interns should possess the following:

  • Familiarity with Python, R, SQL, or similar analytics and programming language
  • Familiarity with Microsoft Excel or Google Sheets
  • Excellent problem-solving skills
  • Excellent organizational and communication skills
  • Experience with data collection and cleaning a plus
  • Experience with dbt a plus
  • Experience with web scraping (e.g. Selenium, BeautifulSoup. ScraPy) a plus

Below are the stipend rates:

  • $20/hour forundergraduate students or equivalent experience
  • $24/hour for graduate and law students or equivalent experience

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