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Analytics Engineer

Stockholm, Sweden💼 Full-time🗓 2026-06-05 → 2026-09-27

Core

Build and scale the analytics foundation powering decision-making for Growth, Marketing, Product, and Commercial teams by owning data pipelines, warehouse models, and dashboards.

Role type

Analytics Engineer

Builds

Data pipelines, warehouse models, dashboards, and experimentation analysis for e-commerce growth and marketing.

Domain

E-commerce / Digital Analytics

Deliverable

production ML models | product features | dashboards & analysis

Required skills

SQL, BigQuery, dbt, Dataform, Looker, Funnel, data pipeline architecture, data modeling, event tracking instrumentation, funnel analysis, attribution modeling, CRM data flows, paid media data structures

Preferred skills

GA4, Google Tag Manager, Klaviyo, Meta Ads, Google Ads

Technologies

BigQuery, dbt, Dataform, Looker, Funnel, Google Tag Manager, GA4, Klaviyo

Responsibilities

Own and maintain BigQuery data pipelines with scheduling, monitoring, and data quality validation; Design, build, and maintain dashboards for Growth, Marketing, and Product teams; Implement and maintain event tracking through GTM and GA4; Build data infrastructure feeding CRM and paid media channels; Support experimentation workflows and A/B test analysis; Translate business questions into clear analyses with actionable recommendations.

Seniority

Mid-Senior (4-6 years experience)

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