Data & Analytics Co-op

Data & Analytics at Later

Later is looking for a tech-savvy Northeastern co-op to join their Boston-based team and help redefine how influencer marketing data is processed. This is a hands-on role where you will support the entire data lifecycle, from structuring raw datasets in BigQuery to delivering high-impact visualizations for global brands. You will work closely with a mentor to ensure data accuracy while exploring how artificial intelligence can make the analytics process more efficient.

The Vibe Coding Edge

What sets this role apart is Later’s commitment to modern development. You won't just be writing manual queries; you will be encouraged to use vibe-coding tools and AI-assisted workflows to build and maintain data pipelines. By leveraging tools like dbt alongside natural language prompts, you will help create a scalable approach to business intelligence that moves faster than traditional methods.

Growth and Impact

As a co-op, you will take ownership of specific reporting domains and learn to independently resolve data gaps using automated guardrails. By the end of the six-month term, you will have built at least one mission-critical dashboard, gaining experience with a professional tech stack including Python, R, and specialized platforms like Omni or Domo.