Senior Enterprise Analytics Engineer – Commercial

AutoStore™; Oslo; Hybrid; NOK 1,100,000 - 1,600,000; Full time

Benefits offered by this job

Health insurance

Pension plan

Job summary

AutoStore™ is seeking a Senior Enterprise Analytics Engineer – Commercial to build the data foundation behind our commercial analytics. You will work with Commercial teams to translate needs into trusted, reusable data models, metrics, and Silver and Gold data products.

You will own the Commercial data domain, collaborate with the IT Data team to align with the enterprise data platform, ensure data quality, documentation, and governance, and support AI/GenAI-ready use cases across the business.

Qualifications

• 7+ years of experience in Analytics Engineering, Data Engineering, BI, or related areas with hands-on technical experience.
• Proven experience designing and building enterprise analytical data models, Silver/Gold data layers, and reusable datasets to support reporting and analytics.
• Advanced SQL skills, including complex transformations, data modelling, query optimisation, and troubleshooting across data sources and layers.
• Experience with dimensional and semantic modelling and modern cloud data platforms such as Databricks, Snowflake, BigQuery, or Microsoft Fabric.
• Experience translating business requirements into scalable data solutions, working with business stakeholders and with Data Engineering, BI and Analytics teams.
• Experience with PySpark, dbt, Python, data governance/cataloguing, or CI/CD is an advantage; experience with CRM/sales/marketing data is valuable.

Responsibilities

• Build and maintain Silver and Gold-layer data products for the Commercial domain in Databricks, turning enterprise data into reliable, reusable models, metrics, and datasets for reporting and analytics.
• Work closely with Commercial stakeholders to understand business needs and translate them into clear data definitions, KPIs, and scalable analytical solutions.
• Partner with the IT Data team to align Commercial data products with the enterprise data platform, architecture, pipelines, and engineering standards.
• Own data quality, documentation, lineage, and governance for key Commercial datasets and metrics, ensuring consistent definitions and trusted reporting across the business.
• Investigate data and BI issues across source systems, transformation layers, and reporting, replacing recurring manual fixes with sustainable data-model or transformation improvements.
• Help establish analytics engineering standards and AI-ready data foundations, improving modelling, testing, documentation, and reuse while supporting future advanced analytics and GenAI use cases.

Job description

We are looking for a Senior Enterprise Analytics Engineer – Commercial to build and develop the data foundation behind our commercial analytics. You will work closely with Commercial teams to understand their data and reporting needs and translate them into trusted, reusable data models, metrics, and Silver and Gold data products.

Working closely with our IT Data team, which owns the data platform and source pipelines, you will take technical ownership of the Commercial data domain, including analytics architecture, data quality, documentation, and BI enablement. You will also help ensure our commercial data is structured and ready to support future AI and GenAI use cases.

Job Responsibilities

• Build and maintain Silver and Gold-layer data products for the Commercial domain in Databricks, turning enterprise data into reliable, reusable models, metrics, and datasets for reporting and analytics.
• Work closely with Commercial stakeholders to understand business needs and translate them into clear data definitions, KPIs, and scalable analytical solutions.
• Partner with the IT Data team to align Commercial data products with the enterprise data platform, architecture, pipelines, and engineering standards.
• Own data quality, documentation, lineage, and governance for key Commercial datasets and metrics, ensuring consistent definitions and trusted reporting across the business.
• Investigate data and BI issues across source systems, transformation layers, and reporting, replacing recurring manual fixes with sustainable data-model or transformation improvements.
• Help establish analytics engineering standards and AI-ready data foundations, improving modelling, testing, documentation, and reuse while supporting future advanced analytics and GenAI use cases.

Requirements

• 7+ years of experience across Analytics Engineering, Data Engineering, Business Intelligence, or related areas, with hands‑on technical experience.
• Solid experience designing and building enterprise analytical data models, Silver/Gold data layers, and reusable datasets that support business reporting and analytics.
• Advanced SQL skills, including complex transformations, data modelling, query optimisation, and troubleshooting across different data sources and layers.
• Experience with dimensional and semantic modelling and modern cloud data platforms such as Databricks, Snowflake, BigQuery, or Microsoft Fabric.
• Experience translating business requirements into scalable data solutions, working directly with business stakeholders and closely with Data Engineering, BI, and Analytics teams.
• Experience with PySpark, dbt, Python, data governance/cataloguing, or CI/CD is an advantage. Experience working with commercial data such as CRM, sales, marketing, or customer data is also valuable.

We Offer

• A Collaborative & Inclusive Culture where we celebrate and value everyone's contributions, encouraging diverse perspectives in decision‑making.
• Work-Life Balance & Well‑being: We offer health insurance, and a generous pension plan, prioritizing your mental and physical well‑being.
• A Creative and Safe Workplace by joining a company experiencing rapid growth, with the stability of being Norway's first unicorn listed on the Oslo Stock Exchange.
• International and Supportive Environment within a Norwegian multinational that values collaboration and innovation with a structured onboarding plan and career opportunities within the company

This role can be based at our office in Berlin, Germany, or at one of our offices in Norway — Oslo (Lysaker), Stavanger, or Vindafjord (Nedre Vats).

Application deadline: October 4th. All inquiries are treated confidentially.