Senior Analytics Engineer

EF Education First / Hult•Cambridge, MA
•$135,000 - $170,000•Hybrid

About The Position

On the WoJo Engineering team you'll join a group of engineers, product professionals, analysts, and UX/UI designers who build the applications and systems that make travel happen. We power every step of the customer journey, from the e-commerce experience on the web to the mobile app that enhances the trip itself, and we power the internal tools our teams use to serve those customers. As a Data Engineer, you'll help build and operate the data platform our teams rely on, including the data foundations behind our growing AI and machine learning work.

Requirements

  • Experience owning analytical data products that other people use to make decisions (typically 5+ years in analytics engineering, analytics, or a closely related data role).
  • Strong SQL and hands-on experience modeling in a cloud data warehouse (Snowflake preferred).
  • Hands-on experience with dbt (dbt Core and/or dbt Cloud), including models, tests, and documentation other people extend.
  • Experience defining shared metrics or a semantic layer that reporting, self-serve, or AI tools depend on.
  • A track record of partnering with analysts and business stakeholders, including reframing a request around the decision it is meant to inform.
  • Experience mentoring, reviewing, or raising the bar for other engineers or analysts.
  • Working proficiency in Python for data tooling and automation.

Nice To Haves

  • reverse ETL / data activation (Hightouch), or product data that powers marketing and advertising.
  • semantic layers or metric layers used by LLM-driven analytics or self-serve tools.
  • digital analytics event data, especially Google Analytics (GA4): sessions, events, and models that connect web behavior to business outcomes.
  • measurement for experimentation, lifecycle, or marketing attribution.

Responsibilities

  • Translate ambiguous business questions into trusted data products: modeled datasets, metric definitions, and documentation that analysts, product, and business partners can rely on.
  • Design and evolve our semantic layer so the same definitions power dashboards, self-serve analysis, and LLM-driven analytics.
  • Build and own dbt models that turn raw data into well-tested analytical datasets, with business logic defined once and reused across brands.
  • Model Google Analytics (GA4) and our other digital analytics into datasets marketing and product can trust: sessions, events, and on-site behavior, joined to how travelers discover, consider, and book a tour.
  • Partner with analysts and stakeholders to shape the question before you build. Bring the dataset that will change a decision, and say so when a request will not.
  • Activate trusted data into the tools the business already runs on, including marketing, CRM, and advertising: reverse ETL (Hightouch) and the product catalogs behind our advertising and personalization channels.
  • Turn recurring questions into something people can answer themselves: clear metrics, semantic models, and lightweight AI-assisted workflows, with you still accountable for the definition and the result.
  • Build data quality into everything you ship: automated tests, monitoring, and explicit ownership of the numbers.
  • Set the modeling and review bar for your domain, and mentor engineers and analysts who are building toward it.
  • Contribute to the direction of our analytical layer: where we invest in shared models, where we enable self-serve, and which questions are worth a durable data product.

Benefits

  • The opportunity to travel on one of our tours every year at no cost and without using your paid vacation.
  • Four weeks of paid vacation and twelve paid holidays.
  • Professional growth opportunities, including monthly trainings, workshops, and talks with global leaders and experts.
  • A 25% company match on your 401(k).
  • Medical, dental, and vision coverage, along with life and disability insurance.
  • Paid international business travel.
  • Wellness benefits and an annual fitness reimbursement.
  • EF program discounts, including travel, language schools, childcare, and more.
  • Dependent-care, healthcare, and commuter flexible spending accounts.
  • Discounts at local venues and businesses.
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