Analytics Engineer transforming customer experience data into actionable insights. Collaborating cross-functionally to build analytical data products that support customer experience surveys.
Responsibilities
Own an end-to-end technical solutions for a specific data products (such as Customer Experience data)
Transformation layer ownership: turning raw data into clean, testable and documented models (using e.g. dbt)
Semantic layer creation and maintenance: consistent metrics and business entities accessible to BI/analytics teams
Data quality automation: test, alerts, lineage and documentation
Apply DevOps and production best practices, including CI/CD, version control, code reviews, and performance monitoring
Translate business requirements into tangible development needs for the data products
Help business understand the data products and their potential
Collaborate closely with data consumers (such as analysts), internal stakeholders, and external tool vendors
Requirements
Several years (2–5+) of hands-on experience designing and developing data solutions that enable analytics
Strong programming skills and proficiency in SQL and Python
Databricks experience is a plus
Skilled at translating complex technical concepts into clear, accessible language for non-technical colleagues and stakeholders
Relevant higher education background and fluency in English
Curiosity to learn and try new technologies especially in the areas of analytics and data engineering
Benefits
An including work environment where everyone is welcome
Career- and development opportunities in the biggest insurance company in the Nordics
Social activities such as office events and afterwork gatherings, as well as a highly skilled professional environment
Possibility of hybrid workplace
Health promoting workplace with e.g. wellness allowance and various sports activities
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