Data & Analytics Co-op

🏢 Later · 📍 Boston, MA 💰 $42,000 - $42,000 / yr

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Position Summary & Responsibilities

Later is the world’s most intelligent influencer marketing company, built to give brands the confidence to create unforgettable campaigns. By combining real creator relationships, trusted intelligence, and expert guidance, Later removes fear and guesswork from one of marketing’s most visible investments.

Built on a native, AI-powered platform and more than a decade of proprietary data—including billions of social interactions, impressions, and $2.4B+ in verified influencer-driven purchases—Later helps teams understand what will work before they launch.

By combining trusted insight with expert guidance, Later removes guesswork from influencer marketing, enabling brands to choose the right creators, execute fully managed campaigns, and drive meaningful growth across awareness, engagement, and revenue. Trusted by leading enterprise brands including Nike, Wayfair, Unilever, and Southwest Airlines, Later bridges creativity and performance so campaigns don’t just look good—they deliver results. Learn more at later.com.

This position is only open to students currently enrolled in a co-op program through Northeastern University. The term will run from January to June 2027 and the successful candidates will be expected to work in-office five days a week.

About the role:

The Data & Analytics team is looking to change the game when it comes to Analytics for Later. We are implementing new techniques with a strong AI backing while still meeting the needs of a rapidly changing organization. We're looking for a Data & Analytics Co-op to support Later's Data & Analytics team, working day-to-day with a Senior Analyst who will manage your ramp and workload. You'll work with the team to enhance and evolve our data & analytics assets, effectively supporting teams across Later.

What you'll be doing:

Analytics Support

Help build and maintain data sources, reports, and dashboards leveraging tools like BigQuery, dbt, and vibe code applications
Partner with the Senior Analyst to prioritize and develop a scalable approach to Analytics tools
Pull, validate, and structure data sets for ad hoc analysis
Creatively approach business and client questions and how to measure business impact

Data Quality & Collaboration

🎯 Candidate Preparation Guide For Later Applicants

Key Role Competencies & Evaluation Highlights

Key Role Focus:

Measuring deep domain expertise in social media marketing ecosystems, creator economies, and product-led growth (PLG) loops.

📋 Preparation Priorities (Key Areas to Clarify):

1. Viewing social media purely as broadcast media rather than interactive community building
2. Relying on outdated marketing playbooks that ignore current creator economy trends
3. Showing weak understanding of SaaS freemium to paid conversion funnels

✨ Recommended Role Alignment Hook:

I scale social media tech platforms by engineering product-led growth loops that turn casual creators into lifelong subscribers.

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