> Markdown version of [/jobs/ext/3760471-data-analyst-i](https://www.wearedevelopers.com/jobs/ext/3760471-data-analyst-i). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Analyst I - **Company:** Akkodis, Inc. - **Location:** Houston, TX, United States - **Experience:** Starter - **Salary:** $83,200.0 - $93,600.0 - **Contract:** Permanent contract - **Skills:** Data Analysis, Big Data, Databases, Computer Engineering, Extract Transform Load (ETL), Data Structures, Data Systems, Database Storage Structures, Database Testing, Scripting, Information Technology - **Published:** October 15, 2026 - **Apply:** https://www.careerjet.com/job/us90b51ac39aea3f8c66092856fa439fea/eaa ## About the Role Bachelor's degree in computer science, Computer Engineering, Information Technology, or a related technical field. 0-2 years of experience in data analysis, database management, ETL processes, or a related area. Knowledge of database technologies, data structures, and database management systems. Experience with ETL processes and familiarity with at least one scripting language. ## Description Akkodis is seeking a Data Analyst I for a Contract with a client in Houston, TX. The ideal candidate will Support database testing, enhancement, and implementation while ensuring data accuracy and system efficiency. Rate Range: $40/Hour to $45/Hour; The rate may be negotiable based on experience, education, geographic location, and other factors. Data Analyst I Responsibilities include: Coordinate and implement changes to databases to support business and technical requirements. Design, develop, and maintain ETL processes for large-scale data integration and management. Analyze data requirements and collaborate with stakeholders to recommend effective data solutions. Test databases and programs, troubleshooting issues, and implement necessary corrections. Modify and optimize database structures to improve performance, reliability, and scalability. Support data-driven decision-making by ensuring data accuracy, accessibility, and integrity.