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2 results for Kronos Data Specialist in Cleveland, OH
- Cleveland, OH
- onsite
- Permanent
- 100000 - 125000 USD / Yearly
- <p>We are looking for an experienced Data Analyst to join our team in Cleveland, Ohio. In this role, you will leverage your expertise to design and optimize data solutions, ensuring the seamless integration and accuracy of information across various systems. This is an exciting opportunity to work with cutting-edge technologies and collaborate with diverse teams to drive data-driven decision-making.</p><p><br></p><p>Responsibilities:</p><p>• Develop and refine data models to enhance performance and operational efficiency.</p><p>• Create data warehouse solutions to manage and access structured and unstructured data effectively.</p><p>• Design, implement, and maintain data integration processes to support analytics and data-driven applications.</p><p>• Establish and enforce data validation procedures to ensure the reliability and consistency of information.</p><p>• Partner with business intelligence teams and other stakeholders to gather requirements and deliver tailored data solutions.</p><p>• Diagnose and resolve issues within data pipelines, including performance bottlenecks and system errors.</p><p>• Stay informed about advancements in data engineering and analytics to incorporate best practices into workflows.</p>
- 2026-04-07T00:00:00Z
- Cleveland, OH
- onsite
- Permanent
- 120000 - 130000 USD / Yearly
- <p>We are looking for an experienced Data Engineer to join our team in Cleveland, Ohio. In this role, you will design, implement, and optimize data solutions that support business intelligence and analytics needs. If you have a passion for working with cutting-edge technologies and thrive in a fast-paced environment, this opportunity is for you.</p><p><br></p><p>Responsibilities:</p><p>• Develop and refine data models to ensure optimal performance and scalability.</p><p>• Design and implement data warehouse solutions for managing structured and unstructured data.</p><p>• Create and maintain data integration processes to support analytics and data-driven applications.</p><p>• Establish robust data quality and validation protocols to guarantee accuracy and consistency.</p><p>• Collaborate with business intelligence teams and stakeholders to gather requirements and deliver tailored solutions.</p><p>• Monitor and address issues within data pipelines, including performance bottlenecks and system errors.</p><p>• Research and adopt emerging technologies and best practices to enhance data engineering capabilities.</p>
- 2026-04-07T00:00:00Z