Analytics Engineer - Price Determination (Copenhagen, Denmark)

You'll join as one of the first and most critical analytics hires in a high-visibility, high-impact initiative transforming global Ocean logistics. Your work in establishing robust analytics infrastructure is strategically essential—your success in this role directly contributes to our team’s—and your—long-term impact and growth. Expect exceptional autonomy, ownership of complex analytics challenges, and meaningful opportunities for career progression as the foundational expert setting standards for our analytics practices.

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A.P. Moller - Maersk is an integrated container logistics company working to connect and simplify its customer's supply chains. As the global leader in shipping services, the company operates in 130 countries and employs roughly 100,000 people. With simple end-to-end offering of products and digital services, seamless customer engagement and a superior end-to-end delivery network, Maersk enables its customers to trade and grow by transporting goods anywhere - all over the world.

• Collaborate closely with Quantitative Analysts, Data Scientists, and Product Managers to align data model design and implementation with strategic analytics use-cases (pricing optimization, experimentation, predictive modeling).
• Establish and improve analytics CI/CD pipelines (e.g., GitHub Actions, GitLab CI), including automated testing, linting, validation and observability ensuring analytics reliability.
• Develop and maintain scalable, efficient ELT pipelines leveraging SQL, dbt, and Python within cloud data warehouses (e.g., Snowflake, BigQuery), solving complex problems around large-scale data sets, latency, and data quality.

• Prior experience as analytics engineer or data engineer in high-growth analytics teams, particularly with exposure to pricing optimization, experimentation, or operational analytics.
• Experience with orchestrating data workflows (Airflow, Prefect, Dagster), cloud infrastructure tools, or analytics observability platforms.
• Familiarity with modern BI tools and building semantic layers to enable self-service analytics.

• Full time employment at Maersk in Denmark