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Senior Analytics Engineer

EF (Education First) Boston, MA

Boston, MA

Today

$135k - $170k/yr Full time Marketing Senior Analytics

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Job Description

Join EF’s WoJo Engineering team in Boston to help build and operate the data platform behind customer journey analytics and AI/ML work. In this onsite role, you’ll create trusted analytical data products that turn ambiguous questions into reusable datasets, shared metric definitions, and production-ready models that marketing, CRM, advertising, product, and AI-driven analytics can rely on.

This is a Senior Analytics Engineer position with a salary range of $135,000 to $170,000 per year, based on experience. You’ll work at the intersection of data engineering and decision-making, with a focus on semantic layers, dbt modeling, data quality, and data activation into tools the business already runs.

What you’ll do

Translate unclear business requests into trusted data products, including modeled datasets, metric definitions, and documentation for analysts, product, and business partners.
Design and evolve the semantic layer so consistent definitions power dashboards, self-serve analysis, and LLM-driven analytics.
Build and own dbt models that transform raw data into well-tested analytical datasets, with business logic reused across brands.
Model Google Analytics (GA4) and other digital analytics into datasets for marketing and product, including sessions, events, and on-site behavior joined to how travelers discover, consider, and book a tour.
Collaborate with analysts and stakeholders early to shape the question, set expectations, and deliver the dataset that changes decisions.
Activate trusted data into business tools using reverse ETL (Hightouch), including the product catalogs behind advertising and personalization channels.
Turn recurring questions into self-serve answers using clear metrics, semantic models, and lightweight AI-assisted workflows, while staying accountable for the definition and output.
Embed data quality into delivery through automated tests, monitoring, and explicit ownership of the numbers.
Set the bar for modeling and review within your domain, and mentor engineers and analysts working toward it.
Contribute to the direction of the analytical layer, including where shared models live and which questions are worth durable data products.
Use AI tools to work more effectively, building definitions and semantic foundations teammates and agents can use.

What you bring

5+ years of experience owning analytical data products used for decisions (analytics engineering, analytics, or a closely related 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 others can extend.
Experience defining shared metrics and/or a semantic layer that reporting, self-serve tools, or AI tools depend on.
A track record partnering with analysts and business stakeholders, including reframing requests around the decision they support.
Experience mentoring, reviewing, or raising the bar for other engineers or analysts.
Working proficiency in Python for data tooling and automation.

Tools you’ll work with

SQL, Snowflake, dbt, dbt Core, dbt Cloud, Python
Google Analytics (GA4), Hightouch

Benefits

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

Bonus focus areas

Reverse ETL/data activation (Hightouch) and 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 GA4: sessions, events, and models connecting web behavior to business outcomes.
Measurement for experimentation, lifecycle, or marketing attribution.

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