Analytics Engineer

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

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• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Verification

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Salary

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Market context

U.S. role benchmark (BLS OEWS)

$111,944 U.S. median for this role

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Data From the posting source checked Jun 20, 2026

Seniority

Mid From the posting source checked Jun 20, 2026

Work mode

Onsite From the posting source checked Jun 20, 2026

In-office days

5 days From the posting source checked Jun 20, 2026

Schedule

Shift type

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Weekend work

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Company

Company stage

Early From the posting source checked Jun 20, 2026

Application

Cover letter

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Assessment

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Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Analytics Engineer Copenhagen | OnSite Subsets (YC S23) is an early-stage startup defining AI-driven subscription growth. As an Analytics Engineer, you'll join the early team shaping subscription lifecycle management, helping brands create audiences, run experiments, and optimize how messaging impacts churn, retention, upsell and more! This role sits between customers' data and our platform. You will be the person to architect and implement how customers' raw subscription data gets transformed into clean, trusted data models that power our platform and ML pipelines. What you will do - work directly with the founding team, our customers, and our data engineers. - own customer onboarding from a data perspective. Understand each customer's data, model it in dbt, and ship it into production. - build and maintain the dbt layer that powers our product, our ML features, and our internal analytics. - become the technical point of contact for customers on data questions, joining calls, scoping integrations, and translating their business logic into models. - write tests and quality checks so we catch data issues before customers do. - work in a lean, high-performing team where you will have a significant impact on the product and assume numerous responsibilities. - bring your opinions and experiences on how to scale our setup from 10+ customers to 100+ customers. Tech stack: SQL, dbt, BigQuery, Python, GCP. You don't need to know everything - we value strong fundamentals and learning velocity. You may be a good fit - you have a strong background as an analytics

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