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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.
Job Responsibility:
Develop and refine data models to enhance performance and operational efficiency
Create data warehouse solutions to manage and access structured and unstructured data effectively
Design, implement, and maintain data integration processes to support analytics and data-driven applications
Establish and enforce data validation procedures to ensure the reliability and consistency of information
Partner with business intelligence teams and other stakeholders to gather requirements and deliver tailored data solutions
Diagnose and resolve issues within data pipelines, including performance bottlenecks and system errors
Stay informed about advancements in data engineering and analytics to incorporate best practices into workflows
Requirements:
Minimum of 5 years of experience in data analysis, fraud investigation, or related fields
Proficiency in fraud analytics and anti-fraud techniques
Strong skills in data analysis using tools like Power BI and SQL Server
Hands-on experience with Azure technologies, including Data Factory, Data Lake, SQL Database, Synapse Analytics, and Azure Stack
Familiarity with Azure Storage solutions and their integration with analytics platforms
Proven ability to design efficient data models and systems
Excellent problem-solving skills and attention to detail in troubleshooting data-related issues