> Markdown version of [/jobs/ext/3052227-data-analysis](https://www.wearedevelopers.com/jobs/ext/3052227-data-analysis). 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 Analysis - **Company:** Chervon North America - **Location:** United States - **Experience:** Expert - **Salary:** $65,000.0 - $85,000.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Airflow, Amazon Web Services, Amazon S3, Data Analysis, Bash Shell, System Configuration, Data Governance, Data Infrastructure, Data Integration, Data Integrity, Extract Transform Load (ETL), Data Warehousing, Python (Programming Language), MySQL, Power BI, Cloud Services, DataOps, SQL Databases, Workflow Management Systems, Data Processing, Scripting, System Availability, AWS Lambda, Git, AWS Glue, Data Management, Oracle Erp, Software Version Control, Amazon Redshift - **Published:** September 24, 2026 - **Apply:** https://www.thejobnetwork.com/job/senior-data-analyst-509977347 ## About the Role * Proven experience in data management, database administration, IT support, specifically with Oracle ERP and MySQL databases. * Strong proficiency in troubleshooting, configuring, and managing data infrastructure, with experience in data modeling, ETL processes, and data warehousing solutions. * Familiarity with data integration tools and techniques, including experience with workflow orchestration tools (e.g., Apache Airflow, AWS Step Functions) and version control systems (e.g., Git). * Expertise in designing and building DataOps capabilities to automate data processing tasks and streamline data operations. * Experience with AWS cloud services, including but not limited to AWS Glue, AWS Lambda, Amazon Redshift, and Amazon S3. * Excellent analytical and problem-solving skills, with the ability to diagnose complex technical issues and implement effective solutions. * Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams to achieve business objectives. * The salary range for this position is $65k to $85k. Offers are generally made between this range depending on skills, experience, and internal equity. In some cases, highly qualified candidates may receive an offer outside of the posted range. Preferred Skills: * Expertise in Power BI, Java, and SQL. * Familiarity with scripting languages (Python, Bash). * Knowledge of data governance and compliance regulations (GDPR, CCPA). Travel: Travel to warehouses in the U.S. may be required. 10% or less. ## Description As the Senior Data Analysis, your primary focus will be on designing and implementing DataOps practices within our organization. You will serve as a key resource for resolving complex technical issues related to data infrastructure and processes. Leveraging your expertise in data modeling, ETL processes, data warehousing solutions, and AWS cloud services, you will lead initiatives to enhance operational efficiency and ensure data reliability and availability through the implementation of DataOps methodologies., * Serve as a primary resource for resolving complex technical issues related to data infrastructure and processes. * Collaborate closely with the IT team in China to address escalated technical issues, ensuring timely resolution and minimal impact on operations. * Conduct routine system checks and maintenance to optimize data infrastructure performance and proactively identify potential issues. * Utilize your deep understanding of data modeling, ETL processes, and data warehousing solutions to enhance data analysis capabilities and drive informed decision-making. * Facilitate training sessions for team members, equipping them with knowledge of DataOps principles and best practices. * Develop, maintain, and update comprehensive documentation, including troubleshooting guides, Knowledge Base articles, and best practices for data infrastructure and processes. * Lead the design and implementation of DataOps practices, overseeing data integration, automation, and monitoring processes to streamline operations and enhance data reliability and availability., This role may entail shift work, including evenings, weekends, and on-call support, to ensure continuous system availability and support coverage.