# Data & Analytics Co-op at Later > United States · Unspecified · Analytics / Data science · open. Source: https://alderhq.app/jobs/greenhouse%3Alater%3A8880737002 (read 2026-11-06). ## Facts (observed) - Company: [Later](https://alderhq.app/companies/later) - Location text: Boston, MA; Boston - Where it can be done from (inferred): United States (evidence: "Location: Boston, MA; Boston") - Posted: 2026-10-09 (27 days ago) - First seen by alder: 2026-11-02 · last verified: 2026-11-04 - Reposted: 0 times · edited: 0 times - Apply on the employer's site: https://job-boards.greenhouse.io/later/jobs/8880737002 - Skills listed (inferred): Python, dbt, SQL ## Pay and sponsorship - Posted pay: $44k–$44k per year (from the description) - Market band for similar posted roles (Boston, n 11): p25 $105k, median $135k, p75 $164k ## Description (the employer's text) 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. --- Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/greenhouse%3Alater%3A8880737002 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.