À propos de ce poste Data & Analytics Co-op chez Later
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.
