Data & Analytics Co-op

Later • Boston, MA

11h • Onsite

About The Position

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. 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 2026 and the successful candidates will be expected to work in-office five days a week. 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.

Requirements

• Currently pursuing a degree in Statistics, Data Science, Computer Science, Economics, Math, or a related technical field
• Experience working in BigQuery or a comparable SQL-based data warehouse
• Comfort reviewing and validating data sets for accuracy
• Clear written and verbal communication skills, comfortable with non-technical stakeholders

Nice To Haves

• Exposure to R, Python, dbt, Omni or Domo is a plus

Responsibilities

• 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
• Review data for accuracy and completeness before it reaches stakeholders
• Setting up guardrails to automate awareness of any known data gaps
• Flag and help resolve data quality issues
• Communicate findings & impact clearly to the Senior Analyst and broader team

What This Job Offers

• Job Type: Full-time
• Career Level: Intern
• Education Level: No Education Listed