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# Analytics Engineer

- **Company:** ONTRAC, INC.
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Salary:** $104,800 - $157,200
- **Contract:** Permanent contract
- **Skills:** Business Analytics Applications, Data Analysis, Data Cleansing, Data Governance, Extract Transform Load (ETL), Digital Assets, Monitoring of Systems, Metadata, Office Suite, Data Streaming, Data Analytics, Data Pipelines
- **Published:** October 21, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=6170e92bc0f1d0f1

## About the Role

Are you eager to join a dynamic and expanding company where you can both learn and make a meaningful impact? If you possess a strong sense of empathy, enjoy assisting others, thrive in a fast-paced environment, and excel at problem-solving, we encourage you to apply today to connect with a recruiter!, * 8+ years of relevant experience with a Bachelor's degree or equivalent

 * Extensive understanding of data analytics, business intelligence, and industry terminology
 * Knowledge of standard office software and technologies
 * Knowledge of key data tools and deployment processes
 * It is the responsibility of every position to understand and adhere to the security guidelines outlined in OnTrac's Acceptable Use policy and to conduct their activities accordingly.

## Description

A summary of key responsibilities for the role is outlined below. Additional duties may be assigned as needed to support business objectives.

 * Data source integrity & accuracy: Create, update, and maintain the data sources used for reporting, analysis, and modeling, ensuring their integrity and accuracy.
 * Metadata, pipelines & ETL documentation: Create and maintain metadata and technical documentation for data sources, pipelines, ETL processes, and related data assets.
 * Business requirements & technical specifications: Partner with stakeholders and data analysts to gather business requirements and translate them into clear technical specifications.
 * Pipeline & ETL optimization: Collaborate with IT engineers to optimize data pipelines and ETL processes for efficient data flow and transformation.
 * Process improvement & automation: Identify opportunities to improve, automate, and standardize data and analytics processes.
 * Data governance, security & performance: Promote best practices for data hygiene, resource allocation, and security while monitoring system performance and implementing enhancements as needed.

Paving your way to your success:

 * You communicate clearly and professionally, both verbally and in writing.
 * You collaborate effectively in a team environment to deliver reliable data and analytics solutions.
 * You thrive in a fast-paced environment, prioritizing tasks effectively while maintaining accuracy.
 * You define appropriate methods and procedures for new assignments, using sound judgment to select, adapt, and evaluate advanced techniques.
 * You deliver innovative and effective solutions to challenging data and business issues