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Later

Data & Analytics Co-op at Later

Boston, MA · Posted Oct 9, 2026 · Seen live today

No pay listed; 83% of data and analytics postings here list pay

Apply on Later's site See your match score

About the posting

“The term will run from January to June 2027 and the successful candidates will be expected to work in-office five days a week.”

Read the full posting on Later's site

Seen live Oct 23, 2026; first seen Oct 22, 2026.

Pay in context

Later does not list pay for this role. 83 percent of data and analytics postings in Boston, MA do; their median is $147,500.

How long it has been open

Posted Oct 9, 2026, 15 days ago, and seen on Later's careers page today.

At 15 days old, it is under the 78-day median.

Later at a glance

Later has 33 open postings that we can see, 2 in data and analytics; 82 percent list pay.

The application

Applying goes through Greenhouse.

Trailhead fills Greenhouse, Lever and Ashby forms on your computer; on the phone and on other systems it hands you your answers and your resume.

Place and cost of living

On site in Boston, MA; prices in MA run 6 percent above the US average.

More data and analytics jobs in Boston, MA that list pay

The data and analytics market in Boston, MA

60 data and analytics postings in Boston, MA are open right now, from 31 employers.

Half of them have been open 78 days or less.

From Later's posting

This is Later's own text, as published on its job board. We last checked it on Oct 23, 2026. Apply on Later's site. We remove a posting when the employer closes it.

Apply on Later's site

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.

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