Analytics Engineer

Summary

Join SweedPos, a product-driven startup, as an Analytics Engineer to build and maintain high-quality, scalable data models for client-facing and internal analytics. You will transform raw data into reliable reporting layers, collaborating with data architects, engineers, and product analysts. Responsibilities include implementing data quality tests, working with clients to clarify requirements, and ensuring the integrity of client-facing reports. The ideal candidate possesses 2+ years of experience in analytics engineering, strong SQL skills, and experience with dbt and modern cloud-based data warehouses. The position is fully remote with flexible working hours and offers various benefits.

Requirements

• 2+ years of experience in analytics engineering, data engineering, or BI development
• Strong SQL skills and hands-on experience with dbt
• Solid understanding of data modeling for analytics/reporting , including fact/dimension design
• Experience writing and maintaining data quality tests (e.g. dbt tests, custom SQL assertions, test coverage frameworks)
• Experience with modern cloud-based data warehouses (e.g. Snowflake, ClickHouse, Redshift, BigQuery)
• Excellent spoken and written English — you’ll communicate with internal teams and sometimes with external clients
• Ability to clearly explain data logic and metric definitions to non-technical stakeholders
• Meticulous approach to documentation, testing, and ownership of data artifacts

Responsibilities

• Build and maintain analytics data models using dbt - with a strong emphasis on structure, documentation, and maintainability
• Implement data quality tests and validation logic , ensuring accuracy and trust across reporting layers
• Collaborate with the Data Architect to apply consistent modeling standards and support architecture evolution
• Work with internal teams and sometimes clients to clarify requirements and align on metric logic
• Translate business needs into robust, reusable data models
• Ensure the integrity of client-facing reports , including reliability, freshness, and metric correctness
• Contribute to clear documentation, metric definitions, and data contracts
• Support the continuous improvement of our modern data stack: dbt, ClickHouse, Snowflake, Dagster, Airbyte

Preferred Qualifications

• Bonus: experience supporting client-facing dashboards or embedded analytics
• Proactivity – We love team members who take initiative and provide feedback
• Critical thinking – We value problem-solvers who think beyond just writing code
• Adaptability – Our industry is evolving fast, and we need people who thrive in change

Benefits

• Salary in USD (B2B contract with the US company)
• 100% remote – We’re a remote-first company, no offices needed!
• Flexible working hours – Core team time: 09:00-15:00 GMT (flexible per team)
• 20 paid vacation days per year
• 12 holidays per year
• 3 sick leave days
• Medical insurance after probation
• Equipment reimbursement (laptops, monitors, etc.)