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# Analytics Engineer

- **Company:** Ramsey Solutions
- **Location:** Nashville, TN, United States
- **Experience:** Experienced
- **Salary:** $77,000.0 - $113,000.0
- **Contract:** Permanent contract
- **Skills:** Airflow, Data Analysis, Data Validation, Data Integrity, Extract Transform Load (ETL), Data Mart, Data Visualization, Dimensional Modeling, Monitoring of Systems, Python (Programming Language), Standard Sql, SQL Databases, Scripting, Snowflake, Plotly, Streamlit Framework, Data Pipelines, Amazon Redshift
- **Published:** October 27, 2026
- **Apply:** https://www.careerbuilder.com/job-details/analytics-engineer-nashville-tn--034570d4-6284-4766-8f12-426d4a9f42f4

## About the Role

Personal Finance, Health Insurance, Reimbursement, Pricing, Flexible Spending Accounts, Leadership, Data Analysis, Communication Skills, Scripting (Scripting Languages), Python Programming/Scripting Language, * You have 2+ years of experience as an analytics engineer, data analyst, or another similar role.

 * You have the ability to clearly communicate with both technical and non-technical stakeholders
 * You are proficient in SQL and scripting languages (for example: Python and R)
 * You have experience with several of the following:
 * Data pipelining and ETL/ELT processes
 * Data modeling and dimensional modeling
 * Data visualization (e.g. Streamlit, Plotly, Shiny)

## Description

* Build and maintain data warehouses and data marts, ensuring high standards of data quality, accuracy, and consistency across the platform.
 * Design, develop, and optimize scalable data pipelines and ETL processes using modern tools (e.g., SQL, Python, Apache Airflow, dbt, Snowflake, AWS Redshift), including monitoring for performance and data integrity.
 * Establish and enforce robust data quality checks and monitoring systems to proactively identify and resolve data issues.
 * Develop and maintain source-of-truth reports and dashboards for key business metrics, ensuring consistency across all reporting channels.
 * Build deep expertise in key datasets and data models to support reliable, well-informed analytics.
 * Partner with customers and stakeholders to understand business needs and translate them into actionable data products.
 * Serve as a trusted advisor to analytics customers and stakeholders on data-related strategy and best practices.