Mid-Senior Analytics Engineer - Remote Opportunity

About the Role

We're hiring a Mid-Senior Analytics Engineer to join our dynamic team at LearnWorlds. This Analytics Engineer remote position is crucial as we expand our business intelligence capabilities. You will play a key role in shaping our data strategies and ensuring our analytics engine is robust and efficient.

What You'll Do

• Collaborate with data and engineering teams to build reliable, high-performance data pipelines.
• Refactor and optimize dbt pipelines to ensure they remain fast and cost-efficient as our data volume grows.
• Maintain and extend ingestion scripts using Go and Python to ensure timely data availability.
• Develop internal intelligence features, such as automated customer segmentation and sentiment classification.
• Drive initiatives around data lineage, documentation, and quality testing to maintain high trust in our reporting.
• Implement internal automation workflows leveraging LLMs for data classification and insights generation.
• Contribute to our engineering culture through code reviews and documentation.
• Own the "Reverse ETL" flows that push critical business signals back into GTM tools for Sales, Marketing, and Success.

Requirements

• Significant experience building and managing complex dbt projects.
• Deep experience with Google BigQuery or similar cloud warehouses.
• Proficient in SQL and Python, with the ability to work with Go.
• Strong understanding of data governance, documentation, and establishing clear lineage.
• Experience with Airflow and containerization (Docker) is a significant plus.
• Excellent communication skills and a collaborative mindset.

Nice to Have

• Experience with modern tools like BQML or Vertex AI.
• Familiarity with operational excellence in data management.
• Interest in exploring new approaches in the data and AI landscape.

What We Offer

• Fully remote work with flexible arrangements.
• Private life and health insurance plan.
• Your personal annual training budget.
• Annual home office allowance to set up your workspace.
• 23 days of paid time off and 3 early summer Fridays.
• Access to AI tools at work and a free LearnWorlds School to build and sell your own courses.
• Annual company retreats to foster team bonding.
• An opportunity to grow alongside us and shape the future of e-learning.