Role Overview

As an Intermediate Analytics Engineer, you will design, implement, and optimize analytics data models and pipelines. You’ll be responsible for developing robust, scalable solutions that enable high-quality business intelligence and analytics.

Key Responsibilities

• Design and implement relational, multi-dimensional, and domain-specific semantic models. Apply data normalization principles.
• Develop and optimize analytics pipelines using dbt, SQLMesh, and similar tools.
• Implement and monitor data quality frameworks (dbt tests, SodaCL) to ensure reliable datasets.
• Integrate and transform data from diverse sources for analytics consumption.
• Write efficient SQL and Python code for data transformation and analysis.
• Develop dashboards and reports in Power BI and Excel.
• Work with data analysts, engineers, and business stakeholders to gather requirements and deliver solutions.