Senior Analytics Engineer

EF World Journeys; Boston (MA); On-site; USD 135,000 - 170,000; Full time

Benefits offered by this job

Travel on EF tours yearly

Paid vacation and holidays

401(k) with company match

Medical/dental/vision insurance

Paid international business travel

Job summary

EF World Journeys is seeking a Senior Analytics Engineer to build trusted data products and scalable analytics for marketing, product, and operations. You will own data models, semantic layers, and data quality across brands, enabling AI-driven insights.

You’ll partner with analysts and stakeholders to shape questions, implement metrics, and mentor teammates while advancing our data platforms and self-serve capabilities.

Qualifications

• 5+ years in analytics engineering, analytics, or related data role.
• Strong SQL and hands-on modeling in a cloud data warehouse (Snowflake preferred).
• Hands-on with dbt (Core/Cloud), including models, tests, and documentation.
• Experience defining shared metrics or a semantic layer that reporting, self-serve, or AI tools depend on.
• Partner with analysts and stakeholders to shape questions before you build.
• Experience mentoring, reviewing, or raising the bar for other engineers or analysts.
• Working proficiency in Python for data tooling and automation.
• Bonus: reverse ETL / data activation (Hightouch).
• Bonus: semantic layers or metric layers used by LLM-driven analytics.
• Bonus: GA4 event data and models connecting web behavior to outcomes.
• Bonus: measurement for experimentation, lifecycle, or marketing attribution.

Responsibilities

• Translate ambiguous business questions into trusted data products: datasets, metrics, and docs.
• Design and evolve the semantic layer to power dashboards and AI analytics.
• Build and own dbt models turning raw data into analytical datasets with single-source truth.
• Model GA4 and other analytics into datasets for marketing and product.
• Collaborate with analysts and stakeholders to ensure the dataset informs decisions.
• Activate data into tools like marketing, CRM, and ads via reverse ETL.
• Create self-serve analytics, with clear metrics, semantic models, and lightweight AI workflows.
• Build data quality with automated tests and monitoring.
• Set the modeling bar and mentor others toward it.
• Help guide the direction of the analytical layer and shared models.

Skills

SQL

Snowflake

dbt Core/Cloud

Python

Analytics engineering

Mentoring

Tools

Snowflake

dbt Core/Cloud

Hightouch

GA4

Job description

Job Description

At EF World Journeys, we believe that the best way to learn about the world is to experience it, and we strive to help as many people as possible share that experience. EF Go Ahead Tours, EF Ultimate Break and EF Adventures are divisions of EF World Journeys, and we make world travel easy. We want to empower travelers of all ages to get out there and experience something new on our guided tours. If you share this passion for opening the world, come work with us!

Job Description

At EF World Journeys, we believe that the best way to learn about the world is to experience it, and we strive to help as many people as possible share that experience. EF Go Ahead Tours, EF Ultimate Break and EF Adventures are divisions of EF World Journeys, and we make world travel easy. We want to empower travelers of all ages to get out there and experience something new on our guided tours. If you share this passion for opening the world, come work with us!

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.

What You’ll Do

• 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.

How You Work

• You take ownership, from an unclear problem through a trusted data product in production.
• You collaborate as a partner. You join discovery early, shape scope with analysts, product, and the business, and give and receive candid feedback.
• You care about maintainability: clean models, thoughtful reviews, and documentation others can rely on.
• You balance pragmatism with quality, knowing when a directional dataset should ship and when the definition needs to be right first.
• You use AI tools to work smarter, and you build the definitions and semantic foundations that let teammates and agents use them well.

What You’ll Bring

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

You Can Expect

• 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.
• Compensation range for the Senior Analytics Engineer role is $135,000-$170,000, based on experience.

About Us

Some companies are in the business of banking. Others are in the business of shoes. Or sports. Or soft drinks. At EF, we're in a different kind of business. One that's a little less tangible, and a lot more important. Because our business, what we make, makes everything else possible. We're in the business of understanding. Between people. Between cultures.

For over half a century we’ve been the leader in international educational programs and experiences designed to foster such understanding. Through language, cultural exchange, academic studies, and educational travel, we create the kinds of immersive experiences that challenge biases, open minds, and pave the way for a more understanding world.

You’ll find our offices and schools located in some of the world’s greatest cities, and filled with smart, driven people (over 50,000 of us) who push each other to be better every day. But it’s what we do together - building greater understanding, breaking down barriers, and creating a better world - that makes all the difference.

Founded in 1965 in Sweden, EF (Education First) is a global association of education companies that share a common mission of opening the world through education. EF has been recognized on Forbes 2025 and 2024 World’s Best Employers and 2024 Top Companies for Women lists, Fast Company’s 2025 Next Big Things In Tech, and was a 2024 App Store Award winner in Cultural Impact.

About The Team

At EF World Journeys, we believe the best way to learn about the world is to experience it, and we strive to help as many people as possible do just that. Through our culturally immersive group travel programs, EF Adventures, EF Ultimate Break and EF Go Ahead Tours, we lead guided tours that make travel easy and fun, empowering travelers of all ages to experience something beyond the ordinary. If you share this passion, then we invite you to come open the world with us!

Learn more about EF World Journeys: https://www.efworldjourneys.com/