Intermediate analytics engineer

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, Soda CL) 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. Maintain comprehensive documentation of data models, pipelines, and processes. Use Git and Azure...