Senior Data Analyst

CHERVON NORTH AMERICA INC•Naperville, IL

16d•$65,000 - $85,000•Hybrid

About The Position

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.

Requirements

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.

Nice To Haves

Expertise in Power BI, Java, and SQL.
Familiarity with scripting languages (Python, Bash).
Knowledge of data governance and compliance regulations (GDPR, CCPA).

Responsibilities

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.