Analytics Engineer at Quicken
Interview Preparation Plan
As an Analytics Engineer, you will bridge the gap between data engineering and data analysis. Your primary focus will be on building, testing, and deploying data models that enable efficient and accurate business intelligence and analytics. This involves transforming raw data into a well-structured, reliable, and understandable format for analysts and business users. You'll work with tools like SQL and dbt to create robust data pipelines, ensure data quality, and optimize data warehouse performance. The goal is to empower the organization with trustworthy data for decision-making.
Key Responsibilities
- Develop, test, and deploy data models using dbt.
- Write efficient and scalable SQL queries for data transformation.
- Collaborate with data analysts and stakeholders to understand data needs.
- Ensure data quality, integrity, and reliability through testing and monitoring.
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