oracle
Senior Analytics Engineer
Hult International Business School
Boston, USA
Full-time
Senior · 5+ years experience
Hybrid
Discovered 2 weeks ago
dbtpythonsnowflakesql
Key Skills for This Role
dbtpythonsnowflakesql
Full Job Posting
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.
Preferred Qualifications
- Strong SQL and hands-on experience modeling in a cloud data warehouse (Snowflake preferred).
- 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.
About Hult International Business School
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