Data & Analytics Co-op

Location: Boston, MA Department: Data

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

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 success looks like

Collaborate closely with our Analytics team and core Later stakeholders, building relationship and process together

Develop ownership of at least one reporting area, end to end, and can independently troubleshoot & solution common data anomalies

By the end of the term, you've built or improved at least one dashboard or process the team relies on

What you bring

We are committed to building an inclusive, supportive place for you to do the best and most rewarding work of your career. If you identify with any of the following, we encourage you to apply!

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

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

Our approach to compensation

Salary Range:  $21 per hour

• * please note co-ops are not eligible for company benefits **

Where we work

We have offices in Boston, MA; Vancouver, BC; and Vancouver, WA. For select positions, we are open to hiring fully remote candidates. We post our positions in the location(s) where we are open to having the successful candidate be located.

Diversity, inclusion, and accessibility

At Later, we are committed to fostering a culture rooted in an inclusion-first mindset at every level of the company, embracing the importance of hiring and building teams for culture add rather than culture fit. We openly build and maintain unbiased hiring, pay, and promotion practices to create a foundation for an equitable workplace, paving the way for systemic change.

We are committed to creating a diverse environment and are proud to be an equal opportunity employer. All applications will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, national origin, disability, or age. Please let us know if you require any accommodations or support during the recruitment process.