Analytics Engineer blending data analysis, business intelligence, and data engineering for a healthcare software company. Creating dashboards and data models to empower decision - making and improve healthcare outcomes.
About the role
- 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
- Great insurance benefits
- Lunch benefit
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Lead Web Analytics Developer architecture and implementation of web analytics tools at Hostinger. Collaborate with teams to enhance user experience and improve conversion rates.
Principal managing analytics engineering projects for private equity, leveraging AI technology. Leading cross - functional teams and contributing to business development in a hybrid work environment.
Prototyping analytical tools developed by the engineering and analytics teams for Clir Renewables. Collaborating on automation scripts and methods for renewable energy analysts.
Analytics Engineer Sr developing data pipelines and analytics solutions for Brazil's retail industry. Collaborating with marketing and product teams to optimize data usage and performance.
Senior SAP Data Solutions Engineer designing and implementing data solutions in SAP environments. Contributing to SAP migrations and collaborating with cross - functional teams for project success.
Analytics Engineer creating data products that meet various business needs for the fintech company Stone. Responsible for data pipelines, monitoring, and ensuring data quality.
Design and optimize scalable data pipelines and models for terabyte - scale datasets. Collaborate with stakeholders to ensure data quality, governance, and actionable analytics.
Senior Analytics Engineer developing high - volume applications for data analytics at dLocal. Collaborating with a global team in the fintech industry to enhance payment collection solutions.
Network Analytics Engineer at TIM managing network performance indicators and ensuring data reliability for decision making and customer experience improvement.