Analytics Engineer New
Role Overview
Join the Data team as an Analytics Engineer with strong data-engineering skills.
Build a scalable, reliable and well-structured data foundation, making data accessible and useful across the organization.
Key Skills for This Role
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About Appinio
Appinio describes itself as a global market research company combining an AI-powered insights platform with expert consultancy.
The company says it is remote-first, with employees across 13 countries and clients in more than 190 markets.
Role overview
Join the Data team as an Analytics Engineer with strong data-engineering skills.
Build a scalable, reliable and well-structured data foundation, making data accessible and useful across the organization.
Responsibilities
- Design and maintain scalable SQL and dbt data models and transform raw data into analytics-ready datasets.
- Build and troubleshoot integrations and pipelines ingesting data from APIs, databases and third-party sources.
- Implement automated data tests, validation, monitoring and issue resolution.
- Document models, pipelines, business definitions and transformation logic.
- Standardize business metrics such as revenue, bookings and churn.
- Collaborate across Analytics, Product, Engineering and business teams.
- Optimize queries, dbt models and pipelines for performance and scale.
- Explore AI tools to improve workflows and prepare data for AI-driven analytics.
Requirements
- Excellent SQL skills and hands-on experience with scalable data models in a modern warehouse.
- Practical experience with dbt for transformation workflows, testing and documentation.
- Python proficiency and experience with data pipelines and API, database and third-party integrations.
- Knowledge of modern data warehouses and experience with cloud options such as Redshift, Snowflake or BigQuery.
- Strong understanding of data quality and automated testing.
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